diff --git a/docs/notes/assets/transformations_overview.png b/docs/notes/assets/transformations_overview.png
index 893900a0..f14e7fcf 100644
Binary files a/docs/notes/assets/transformations_overview.png and b/docs/notes/assets/transformations_overview.png differ
diff --git a/docs/notes/assets/world_camera_image.png b/docs/notes/assets/world_camera_image.png
new file mode 100644
index 00000000..72ea6d3f
Binary files /dev/null and b/docs/notes/assets/world_camera_image.png differ
diff --git a/docs/notes/renderer_getting_started.md b/docs/notes/renderer_getting_started.md
index 615d23f2..acf24c1b 100644
--- a/docs/notes/renderer_getting_started.md
+++ b/docs/notes/renderer_getting_started.md
@@ -34,19 +34,22 @@ The differentiable renderer API is experimental and subject to change!.
 
 ### Coordinate transformation conventions
 
-Rendering requires transformations between several different coordinate frames: world space, view/camera space, NDC space and screen space. At each step it is important to know where the camera is located, how the x,y,z axes are aligned and the possible range of values. The following figure outlines the conventions used PyTorch3d.
+Rendering requires transformations between several different coordinate frames: world space, view/camera space, NDC space and screen space. At each step it is important to know where the camera is located, how the +X, +Y, +Z axes are aligned and the possible range of values. The following figure outlines the conventions used PyTorch3d.
 
 <img src="assets/transformations_overview.png" width="1000">
 
 
+For example, given a teapot mesh, the world coordinate frame, camera coordiante frame and image are show in the figure below. Note that the world and camera coordinate frames have the +z direction pointing in to the page. 
+
+<img src="assets/world_camera_image.png" width="1000">
 
 ---
 
 **NOTE: PyTorch3d vs OpenGL**
 
-While we tried to emulate several aspects of OpenGL, the NDC coordinate system in PyTorch3d is **right-handed** compared with a **left-handed** NDC coordinate system in OpenGL (the projection matrix switches the handedness).
-
-In OpenGL, the camera at the origin is looking along `-z` axis in camera space, but it is looking along the `+z` axis in NDC space.
+While we tried to emulate several aspects of OpenGL, there are differences in the coordinate frame conventions. 
+- The default world coordinate frame in PyTorch3D has +Z pointing in to the screen whereas in OpenGL, +Z is pointing out of the screen.  Both are right handed. 
+- The NDC coordinate system in PyTorch3d is **right-handed** compared with a **left-handed** NDC coordinate system in OpenGL (the projection matrix switches the handedness).
 
 <img align="center" src="assets/opengl_coordframes.png" width="300">
 
@@ -60,7 +63,7 @@ A renderer in PyTorch3d is composed of a **rasterizer** and a **shader**. Create
 from pytorch3d.renderer import (
     OpenGLPerspectiveCameras, look_at_view_transform,
     RasterizationSettings, BlendParams,
-    MeshRenderer, MeshRasterizer, PhongShader
+    MeshRenderer, MeshRasterizer, HardPhongShader
 )
 
 # Initialize an OpenGL perspective camera.
@@ -81,7 +84,7 @@ raster_settings = RasterizationSettings(
 # PhongShader, passing in the device on which to initialize the default parameters
 renderer = MeshRenderer(
     rasterizer=MeshRasterizer(cameras=cameras, raster_settings=raster_settings),
-    shader=PhongShader(device=device, cameras=cameras)
+    shader=HardPhongShader(device=device, cameras=cameras)
 )
 ```
 
diff --git a/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb b/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
index 0c40ca08..9da39eda 100644
--- a/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
+++ b/docs/tutorials/camera_position_optimization_with_differentiable_rendering.ipynb
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 21,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -153,11 +153,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 4,
    "metadata": {
     "colab": {},
     "colab_type": "code",
-    "collapsed": true,
     "id": "VWiPKnEIrQdd"
    },
    "outputs": [],
@@ -210,10 +209,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 5,
    "metadata": {
     "colab": {},
     "colab_type": "code",
+    "collapsed": true,
     "id": "KPlby75GrQdj"
    },
    "outputs": [],
@@ -272,12 +272,16 @@
    "source": [
     "### Create a reference image\n",
     "\n",
-    "We will first position the teapot and generate an image. We use helper functions to rotate the teapot to a desired viewpoint. Then we can use the renderers to produce an image. Here we will use both renderers and visualize the silhouette and full shaded image. "
+    "We will first position the teapot and generate an image. We use helper functions to rotate the teapot to a desired viewpoint. Then we can use the renderers to produce an image. Here we will use both renderers and visualize the silhouette and full shaded image. \n",
+    "\n",
+    "The world coordinate system is defined as +Y up, +X left and +Z in. The teapot in world coordinates has the spout pointing to the left. \n",
+    "\n",
+    "We defined a camera which is positioned on the positive z axis hence sees the spout to the right. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 11,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -290,13 +294,13 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAEfCAYAAACDGogmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAgAElEQVR4nOy9eZxkZXn3/b3vU6e27p6eGWZlZhhg\n2FFACKi4K+bxMSFu0AouwSUmxqgE3PLqm84YfRJ8A0Z5eII+SnDBaCOKS9xwiWtcUQRB2YZBZmW2\nnu6urqpT577fP865T506XdVd3V09C3N9/ZTdXcvZerrqx3X97t+lrLUIgiAIgiAI80cf7AMQBEEQ\nBEF4rCDCShAEQRAEoUeIsBIEQRAEQegRIqwEQRAEQRB6hAgrQRAEQRCEHiHCShAEQRAEoUfker3B\noaGhDwBPAizwlpGRkZ/3eh+CIAgLgbx/CYIwX3pasRoaGnoGcOLIyMiTgdcCH+rl9gVBEBYKef8S\nBKEX9LoV+BzgVoCRkZF7gCVDQ0OLerwPQRCEhUDevwRBmDe9bgWuAn6Z+vnR+L792Sd++9vflsh3\nQTgCec5znqMO9jF0QN6/BEGYlm7ev3otrLI7VLFXoS3//Nzre7x7QRAOZd55218d7EOYjlm9f11w\nwQULf0SCIBwyfOtb3+rqeb1uBW6J/wvPcTSwvcf7EARBWAjk/UsQhHnTa2H1TeAiIiPoE4CtIyMj\nYz3ehyAIwkIg71+CIMybngqrkZGRHwO/HBoa+jFwLfDGXm5fEARhoZD3L0EQekHPc6xGRkbe2ett\nCoIgHAjk/UsQhPkiyeuCIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiC\nIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhCjxBhJQiC\nIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaC\nIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhCjxBh\nJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQI\nEVaCIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhC\njxBhJQiCIAiC0CNEWAmCIAiCIPQIEVaCIAiCIAg9QoSVIAiCIAhCjxBhJQiCIAiC0CNEWAmCIAiC\nIPQIEVaCIAiCIAg9IjeXFw0NDT0TuBn4bXzXncD7gU8CHrANeOXIyEitt4crCIIwf+Q9TBCEhWI+\nFavvjYyMPDO+vQl4D3DdyMjI04D7gdf08DgFQRB6jbyHCYLQc3rZCnwm8KX4+y8DF/Rw24IgCAuN\nvIcJgjBv5tQKjDltaGjoS8BSYCPQlyqb7wRW9+gYhcMRpVCehyoUUOUyqljAFvPg56ARRk+pVLHV\nKnayiq3VsGEI1h7sIxeOHOQ9TBCEnjNXYXVf/EY0AhwPfBfwU48rQD4hj0SUwhsYgHWr2XPWEvae\npjDHTbJi6X7WDexjIFdjNChS9ALu3buCXfuWox8qsfj3sPSu/eiHthHuHQUTHuwzER7byHuYIAgL\nwpyE1cjIyBbgs/GPDwwNDW0H1g0NDZVGRkYmgTWx+VM4gtB9fdjTjueBF/Rz6YXf408X/Zr1uYCy\n8vGUQmc7z8dAYEOCp4fsCA1fHDuD63/1dNZ9Jkf5x/cT7tsnFSxhQZD3MEEQFoq5rgp8ObB6ZGTk\nX4aGhlYBK4F/B14CfCr++vXeH65wKKJyObzVq3jkJcfwt3/1OS7qf5h+XQTy8a0zvvIAGNTwtqUP\ncPmz7+VH5/u85j//glM+vA/z+wewjcYBOhPhSEHew4Ru+Md//Ee01mitUUpN+epul19++cE+VOEQ\nYq6twC8Bnx4aGnpB/Mn5BuBXwCeGhob+EtgMfLzHxyocgqhcDs46hd+9xed7z3g/a3P9QHHO2/OV\nxzNLht+8+INceOpL0f90Jv6P7sLWZNW70FPkPUzoyPve975EUGVv7YTV9ddfj1KKv/zLvzzYhy4c\nAsy1FTgGXNjmoefO/5CEwwLtofvKhGdsoD68j9tP+w8GdX/PNt+vi/znqTfzqo3PZ/yKk1C//j22\nEUQPSntQmCfyHia0Y3h4mHK53FFUpcVVu9uNN94IwGWXXXawT0U4iMxnVaBwpOBW+OXzqHIJlgxS\nOekoHv4fmjc8+1u8cfE9lHWp57st6zw3HvcVzn/Xq+n/zNn4EwZlLKU/jKEe3oYZn5CVhIIg9ITh\n4WFKpRK+788oqqYTV57n8dnPfpaXvvSlB/uUhIOECCthKkqhy2XU6hWYJf00+n0mVuUZ3aCpnTzJ\nkzds4u0rb+UpxSD2SE3vo5oP/brIT/7o49x7pmVABxQUfKtyPBu/+0JWf0+z6PdjeNt2YfaPYet1\nEVqCIMya4eHh5PtcLofneW3FVDfCqlAokMvluPnmm7n44osP6nkJBwcRVkKCyuXQ/X2YDWt58EWL\neNmF3+fp/b8D4Chd4ehcg37lU1A5PKXjyR8LT1nnOasAUADgskU7Gbrwf3PX8xRf238mt2w6k9qd\nxzP4AJR2hZQf3g+btmDGx0VkCYLQkQ9/+MMsXryYu+++GwBrbVJ1Sourdsb1rLjyPI9isZgIM8/z\nuPrqq7nyyisP9mkKBxgRVkcySqFyPrqvBCuXM3rGUWx7Orzsqf/NZ5f/lMGW9l4hETaHAmWd57wC\nnLPsLt657A4q5wRMWENg4XuTx/PeL7+EEz69H3X/w5iJiuRiCcIRznvf+17OPPNMli1bRi6Xw1pL\nGIaEYciqVav4zne+g9YaY8wUceXEU1pUucdzuRy+7+P7fiKqjDGMjY1x4okn8uUvfzk5BqUUtVqN\nzZs3c8UVVxzU6yEsHCKsjlB0Xx/hWSey9Sllxk+t8ZSTH+DtKz/PmflxFukinuq9Z2oh8JTGQ1Pw\nfJbE9x3n7+SiSz7A8LPP5ytfeyLrvl0jf/cjmH2j2HpdqliCcATw0Y9+lFNPPZV8PrIqGGMIgoB6\nvU69XkcphTGGRqNBGDb/wyvd9svn8y0CKi2o3H3pn5VSWGuZnJxkYmIi2aZNvedorVm7di2f+9zn\nEiG3ZcsW3vKWtxzgKyQsFCKsjjS0R+7oVTz8svW87XUjXNS/lYKK/hlE7b3ywT7CntCvi7x/1S94\nx5//gFtfciIfuOs55H52Ait/XiV/xyYJHxWExyAf+MAHeMITnkBfXx/GGGq1GrVajUKhQF9fH0op\nKpUK9Xqdb37zmwB4nofv+/T39zM+Pp4IMSeuXEXKiajsV1fFIhZvExMT3HHHHRhjsNZijMEYw4oV\nK1oElvve8zyWLFnCTTfdhOd5TE5O8upXv/qgXD+hN4iwOlLQHt6ifmpnn8B9l1m+/oz/j5P8vgU1\nnh9sPKVZ4fXx+sGtvPb8j1N7coOf1Yq89kuv5+TrdhA++LC0CAXhMGd4eJinPOUpLF68GGsttVqN\ner3O8uXLWbp0KbVajUajwQ033JAIpVwuR39/fyKI3NfBwUH27duHMYaBgYFEXHmelzzP3ZxostZi\nrSUIAiYmJnjggQfI5aZ+tE5MTGCMIQxDjDH09fUl4iotuAqFAjfeeCOFQoFLLrnkAF1FoZeIsHoM\n48I7731znmvP/zRPLe6lXxXiylRfT/cVWhNv99DEU5qyyvPMkuGBl15P5eI6b3rk2dzxfx/Pym88\nTLh9hyS8C8Jhwte+9jWWLFlCtVoFoFwuUywWKZfLfPKTn0QpRT6fx/ej8Y9KKRYtWpR874QUGVFD\nLK4AtmzZQqFQoFgsJttyosy1/srlMuvWraNer3PnnXcmbURSYi37NY27z4m0MAzZs2dPckxXXXVV\nstKwXC6jlOJ1r3vdAlxRoZeIsHqsoj046xRy/7Kbe078EgXlA73xTR3qIqobyjrP9eu+x2/f/W1e\n/+JXkL/hHBbddg/h/v0H+9AEQejAzTffzJo1awiCgPHxcTzPo1Ao4Ps+t9xyC1rrZGVeWkBlxVQn\nXPXJCZtardZ2FSBxLMPSpUsJgoDNmzcn28juN31/9r40rr2Yz+cxxrB3716MMclxjI2N0d/fz8c/\n/nH+/M//fB5XUVhoRFg9FlEK74Rj2fx3ltsTUTV3AhtiMORS8QqPBXHlK4+zCh7/fdZn+a/3+1z5\nwb/k6BvvEnElCIcYV199NU984hMxxjA+Po61NmnrfeMb30iM5vl8vqVdR0roZCtTpKpV2bZe1gvl\nRFV6FWCxWGTfvn1ordmxY0diXm+3f0cnUZW931rL8uXLMcawY8eORGDt3buXSqXCddddR7lcFi/W\nIcrh/ckoTEV7eCccxz1XLuW7531k3qIKQBP90ddsA4ONVuJlRNWBFFmhNYTWJN+3u382eErznFLI\n+958A/v/+FSU/9j1nQnC4cY111zDueeey8TEBOPj4wRBgLWWe+65h29/+9vk83lKpRLFYrFjQjrT\nVK2yoqpWqzE5OdnyHN/3KZVKlMtlBgYGWLRoEX19ffT19VEqlTjmmGMoFostJnfnzWo3CmemETnu\ntb7vs2bNGtauXZscS61WY+fOnWzfvp2PfexjB+A3IMwWqVg9hlC5HDzhVDa9HX7wxA+wwpvd7L7Q\nGgypZcGxoDJYwvi/4Nx96ddwgIWVp/QUceXEnrt/LsfzvFKF/7ji9+y+bwP2znvF2C4IB5lrrrmG\nc845h4mJCYIgQGvN5s2b2blzJ57nkc/nEyEzU+vPVaHSviaHu68R+yydT6pYLNLf309/f3/i43K+\nKzf6ptFoUK/XGRwcJAgCgiBIKkztVgG2Y6Y2pbWW9evXY63l4YcfBqBarfLwww/z7//+71K5OsSQ\nitVjBe1hzj2d/mu28evzb2BtrntRVbMBNRtgsAQ2EhNpUWUweEqlEtebtKte9Zp2lah2+3XCsEE4\n58rVdcd8jd+9pY/cMWugC0+GIAgLg4tOGB8fp1arAXDvvfcmoiodg9AuxDNLtkWXvt+9JpfLUSqV\n6OvrY9GiRQwMDNDf30+xWKRYLFIqlRJPl9Yaay2NRiPxdrnHneDLVq+yFayZhjqnq1fu67p161qO\nf/PmzXziE59Y4N+GMBukYvUYIbdmNZvf1uDW475KQXXfyopEi6ViA3ylU6sGI29VzQaEWDwUOTV1\nhM2B9Fq125cTfsZafOXhAaFVNAhp2DDxhXV7jIO6xM+f+0HOq1zBqe+r09i2fUHORRCEznzwgx/k\n9NNPZ3x8nEajwbZt2xgfH2diYiIRLO7GNIbxTrTzXHme1+LdchUxVw1zAaMAYRi2ZFc5/5UxBt/3\nUUoRhmGLZ6tdtEK7nzudg6uiaa1Zv349xKLKVbE+/elPc+mll3Z5hYWFRITVgUApdKEAngdagzGg\nNSrvo/r7ovvDEFupYqtVCEOIe/5kStc2aIA1LeGWys+z9cJj+OI576esu6tUZUVKUXkUlD9FgGg0\nGvDU1BagwaJRbQVPrwSX24/BoNEt0wmzVan0PqPjjo55tsexzOvjtguv5kWb3s6a68cwqQRlQRAW\nluHhYdasWcPExASNRoOdO3cmoiob1Nmu9TddrAEpIeOESvo5rkKU3oeriLkROKTCQ932nIhKb8cJ\nLWLx5cRVVtR1IwSz56i1JggCjj32WB566CGCIGDr1q185jOf4WUve9msrrfQe0RYLQRKgdLovI8a\nGKBx4tE88pQ+qsstYcHi71egob6iwckbtrKmvJe99RL37FhF48F+8vsUuUnQ9Whz9cUQDFgKexSL\n7w8pb6ngjddQkzUIGthykYEXbOPY3Myp6aE11GwDTykaNiS0lpqNfAWFzN93YEMCYp+R9cilHveU\nhpS4ytJOzKQ9XNnXdBI/TlR12pbBENgQjaWgci376NQq9NtU3rJs8Pv5n6/4MXd853T49d2S0i4I\nB4hSqZSkoD/66KOMjY0llap27TNmKaza5UtlW29OXKXFl0tQT68SJBXR4B53FSxiAWSMSYRZWlwx\ng++q3Tmktwu0iKuxsTEajQb/8R//IcGiBxkRVj1Gl8twwjGMbxhk3waP+rnj/PmpP+GiwdtZrhW+\n0oyZSMgM6BwF5Scio7EhZPRJdXaHijHrY6ymrANWeSFl5VG1IXfVB/jP0TO5b2wFOyr9jE4MUPAb\nfPzkG/FUccbjc8JCE7XLarZB1Rp8pTAYQqsSE3i716Yliac0xoY0CDE2EljTVYecGJtyXxvSwimM\n23xpQdTclgaiOIhENMWvdRWstNhy0RHdrJa8/KgfcsHzzueYewqYOIhQEISFY3h4mOXLl1OtVltE\nVXYocrfCqp2fKv199vXp1YRp0ZOtSKUFV7t2n6tKtdtW9ni6FVdZj5jv+0m17LjjjmPTpk3UarUk\n4FQ4eIiw6hEql8NbvYpHn7OOVa/exLvWfIHH5Xez0ivFgqCZdN7fQXt4aFZ4PkfppvhIi6V+4Jkl\nw1OKvyBYEVWTIm+Rpl/PLKpCa1qrNRbKGgqZP+zmSj+FsdOXqSNRqOOqUiS0uhJYMxxnZEC3eEol\nQrDtdmzcIlSq5TmBDePjb62QeUoRWkvIzK3KpV6B4Mxx1MAAiLASjnDe8573tFRy0u0wOlRfrLW8\n9a1v7XofWmuOOuqoZIixG2TszOKzrVjNVKkiJZSyVSvVZmyNq0Z1MsKnfVTtRFO758+2FZi+5oVC\ngXq9nrQox8bGWLJkibQEDzIirHqBUqhTTuCet5W55vxPckFpFyWVx1OziztwzPSBn63ezGW7ropT\ntQ1q1lBQmgKFludEoiQkxBISYmLB1W7fGp1UgwB8vMQ47ipJSRXKtsYYpFt9TkyFtjX2IV1Fc+1H\nd6yRqNLJto37nwUd7zs5LwshjSnVt3bk8HjW8ffx8NHHwq5d0g4UjiiGh4cBWmbmucpRVthMx/XX\nXz+lqpO9GWMYHR1l6dKlAOzbty8RC6Q8Te1W0DGLtPOZ2oDZVYXp7bZr4bUTRp1M6ukq1mxpd7zu\n53w+TxAEnHDCCdx///2sX78+GSQtHBxEWPUAb8Vy7r1sMbc98184NlfuqiV3oEm31pr3WYoqh0fY\nKj5iNCpurbkIhuZqQSdsPKXjlXhRNczgRE7Tf6VRkV/LRq1HX+lkW4kQU5EQcz4u99W18FwVK9p3\nUyQ5UeXEnttPiMXHo6Ca/8TdNqJ9zixMPaV59bIf8uYnnMXS3+Wx8ZLvQ4rYz6e8qAVqTdyK0PEH\nQBiKIBRmxfDwMFrrJK8pLaTSS/8dnYRCOxEy3dfR0VHq9Trj4+OEYZgIK1et6iSKZrov+3i757er\nQE0nqNJ0erydwOpkXM8uVGpHp1gGUuZ4Yt9VsXjofQYdSYiwmife8uVsufQEPvqi69ngz61CNZeQ\nzdm8xomqiq1Ts4Z+5UdCRqlYuDQFSzq/ilhM+arpTTKopBI1NfPKJCIntJkVedYk7TrXumuGjmpy\nTBV2AA0bJHFrgQ2p2hBfRYLQvdZ5w9wxBNaglcJTzaqWE1UVEy2X9lV34uqMfMiuZ9VY/vXFNLbv\nmPH5C43K5dDlMmrJIOHSRdRWlplYlWNyhcKrQmGvxWoIBqLrMbgpoLR5DF2JW5n1ALNnL6ZakwBU\nYQrDw8P4vk+hUEjymNKG7nTFqhOdKjhMI6o2bdoEQL1ep1AotAgrOlRqOgmrbr+2E2CdyJ7DdOfY\n7npMJ6ayx9DueKarprnVh+56ud/PzTffzMUXXzzjuQm9R4TVPNB9fWy95ETe9YabeFqxccjnrZZV\nnqIysSDyWjxKBsO4qRFiKcatxqbY8ZLnRKIorjYlrT+dVJ7SPieDjQVV9JpGLMRcKzPEMGmjpY/Z\nNqUjqj41CKzBQ+Ghkjaje00tVc0KsZEZH0Ux8/4UeauiTK5ufVZlneft536Dz571fArf2o2Nk5kP\nKEqhSyXU0SvZ88SV7HhGyIvP+SUXLv5P1uX2M6gVAzpPaC2jpo6nFOW4gnd/oPjK2JnsDcr052rc\nM7aK33znTFb/uEFh1yTe7jHMth1izhcYHh6mWCwmM/fcLRu+6XKd6FG1Ki0wjDFUq1WMMUkKOhkh\n1Y2/aq4CK30+01Wa6CCwOl2TbvxWM72+0+gbdyxhGLJy5UoKhUJScRQODiKs5opScNw6Thr6PX9a\nfhRvFqGcWWabszSbVPEw44sKrSJMYgpI/EgF5SdxCzUbULWNSJjYSCDVbBBVluI/+qgKZqiYgACL\njrOwXAsuvZqPZHVe9MbiKkyGSOhAM1m9Ecc7VEyAVoqaNW23nb5mOTwmbZ1qLNyKShPGKfLZSpif\n9pB14bMCuGTR/Vx1keXUXy0l3LGz62vfE5Qid/RqHrn4WNa/6EGuP+aDnJ7PpXxuqSqpioRgmrMK\ncFbhd807lv+W0WO/wj2vyLM9HORrex/Pzz5+Nkd//kEaOx6VKtYRyvDwcDJzz/d98vn8lFTz7Ndu\nRYVjpjYZsbCq1+tYa/F9PwnkzAqJ9P56Lao6Ca3suXTyTE0nuLoNA83e1+7ap6+Hy9w66qijktDU\nXC7HTTfdxMtf/vK25yAsHCKs5oguFNh6wVJuWPOJFh/PgcAZubsRZO2eExAybpqCJWuGNxi0tS05\nVhqdjLRpyaNSikJcpYpacJaaaRBiKaeiJJy/KqoYhaCarcSKDQmpJe09YgEUxKKKWBgWXGXMamo2\nSCITomqVSV5DSoilxVPNNtBKUVb5tqsMO9GvClx27o/572POgZ2PHjDPksrl0Mcdw72vW8n/veh6\nnlIM8NX8/yt0UJd4UhFgnBf2/Te/fdt3+LMn/TUnfnAZ9vZ7RFwdoThh5WINstEGpCoj01V6ZtNu\ns9Zy++23t/xcq9WSAcRBEHTcRlrAzFdgtTv2bpmLuMo+Np246rRiMb1yUWvNnXfeybnnnpskyFtr\nD9mq1T/90z+xbNkyTjnllCTotV6vJzlgrhXsKpeNRoMgCKjX67zyla882Ic/IyKs5ogqldh/WsAJ\nfjivatVcmUuqeWtAJ3ixuMhl6jZuxE01FhB5pSirZoXHtRBrNsRDJQLHKEM1Dhv1lW6ZLdiIR+ME\n1uJhqNgQP96/Tq0ibGkJxs8vp9qSoVVUqYH1GLfV5HkT1tCHZkDnkxWKIa0Coaz9FuP9bHhi3wN8\n4/ins+hX3sK3A5VC9/fTOHMDv391ji88+195fN7Hm8NK0G44PV/ijmf9G2fpN3DSWxYT7tq9IPsR\nDk2Gh4dRSlEoFPA8j0KhkHyIuzEujUYjyXJKG6WttS3m9naz8LLm92w7K40xhrGxMRYvXkwQBHie\nl+zH0Y0gmo+46hUztQpnElftWp/tBJZLd9+wYUPSunWxEIeSsHJV0UWLFlEqlVi8eHFScQvDsKWt\nmR4j5CI+8vk8xWKRL3zhC4nwajQah2RFToTVHLH1Orm9c7987czn2WTyTunl2dd1uz/nQzI2qiZV\nbADW4KsQD92yai6qZEV+pMCapH3oAkQ9pSkQCSpX7arZaGZfgMW3UWsqja8iI7xH5AFyAijArRb0\nEolXUH6UCo+JDeth0pb0iIzpPn7UxkSDrschpbqZe2VbrxmplY2zwVOaE/3d7D5DsfhrZcL9+2e9\njW7RxSJq3dFs++NVrL7oIb543Oc53c8v+DzGfl3keSfdzaaBVSDC6oijXC5P+bB2VYJqtcpb3vKW\nee/j6quvnjLnz7WtHNZagiBgfHycxYsXt1QxjDGJ0JpNO485irDZ0G2MQjdiii5FVbpi9fOf/5w/\n+qM/SgRJOvH9UEhid/49N9Da8zwmJib45je/yQUXXNCSFZYNW3W4ammtVkv+bWqtGRkZYWho6KCd\nWztEWM0R22hQfDTyAM2GTcE4H9v7ZG7fuw5jFev793CUP0GI5vf7V7Jrso+SH3Dq4HYuWvpzTsyN\n4ynFmLFUrYevDIs1rPD6uthbk6jKBFppSqk/Zmc6r9l4uGhqpV5BecnjIZaKCSgoS4EcJvYwRav7\nmu0+gILSLW29ZNCzaXqgCvHKRPc6X+nkGFzmFYCPQisVr+YLYk8Wqdd71GxALTaskxKobnSPic8n\ntJE4bBAJydmw0stxzJMegTUrYWxsQdqB3rKjePTPToIX7+ZfTv0wTyxMtJ3fuBAENuSr95zOKfsf\nWvB9CYcehUKB/v5+fD/6jyXXTgJ6luR95ZVXTrnPZWWlcR+alUqFZcuWsXv37pa8K9c66iRketX6\na3ffXARUt2KKlKDKiqpO3wP88pe/5LzzzqNUKrVUgNxzDmbVyv1+C4UCpVKJfD6frDbVWnPGGWew\na9cujDHUajVWrFgBbdLs9+3bx65duwiCIDm3wcFBli5dykUXXXTQzq8TIqzmiPI8wjlEhfyf3U/j\nt684ETUxiQf8Ib+aP+S8yAxfDxgMQ6yf596Bk3jXMWcztjbaj1cDq6E+COc+7y4+sf77s963y5xy\n+HhUbEhgAsraJ4eHVpbAkvJTKVAQxi0+g2Hc1hITecVEosjYaDUeSYuxQX+mdVXWXtJ+JFVJMtaC\nItmmM9WP2wAfxWgsyMpKUVZ+c35hCu3En603zfNYQmtbPHAaPaeqVUnledv6r/Pu817H0gcf7nmm\nlS4W2fWnJ/HGt9/CRf0PxwGzByaLJrSGd24/lxP+LSTcO3pA9ikcWjQaDXzfp1gsJsLF3ed53gFd\nuu8qE/V6nVwuR7FYpF6vtzw+E9P5vtp9nem+Xn7f6edu2n5Zz9sdd9zB2Wef3SKqnPhzt4MVFupE\nValUolQqUSwWKRQKLQOu0wskBgcH214Hz/NYvHgxGzZsSKqp27dv54UvfOFBOa9uEGE1R1QuR3V1\nSGGW1YS/OuoHvPGB7sImy7cr+jwP3D60wluymJ+edizhMf/VktHU7XBhh1vV56Eo6lzT3xTnTbmo\nBJfO7kzhhbiSpVFxAKimZhsE2DiniiQSodWTFbUK6za6L9TNN0c/XsWXHl0zHudNRaIo2r4B9pg6\nRaWmtBm9uLJVs5F/a1DnKU22OZwAACAASURBVGd8XmWV79r0n8VTmmeUKuiXPor3/VU0Nm2e9TY6\noj3MGSdy7Ovu5ZKBLRQOkKAKbMimRpUrNl3E+PvXUvzFHVgxrh+RpDOjnMeqXC6zatUqtm/f3vJ4\nr2hXrUofjxNXxWKRUqnE2NjYlMTz6W7MshU40329/D79c6cYhex9aa8awD333MNpp52WtNZIic7s\naw/kiBv3e1VKtYgqF9/h+34iqFzrst15p03sjUaDvXv38opXvOKAnMN8EWE1R2yjQWGHN+tW4Npc\nAW/Fchp/eKSLndipRmnfx4Sa/abKEq8MwKStE1iTmLPTbbZOeHGVKQkHTQ1IdtlRzl9FLH68OInd\nbdtLQkEVOv6DdgInnW7uRJyPwlcqEVKufWew6PjNwq06LOuoJZEj2l8lPsdi/HpH2j/lWo1l7VGx\nQWysb/0n3m2garvnFpTP+07+Av942msobH6kN6vnlCJ3zBrueUWZb6/7IoXUGKR2sRrzbQsGNuT+\noMb7tj6fH/3mJFZ9X7P0x1spbrkDG9S72ILwWGPjxo28//3vT6ob6Q8/ay25XI5CoXBAq1buQ9Vl\nWeVyOQYHB5mYmGg78LgbUTVbIbVQ4iq9/ZkqVekqVVpUPfDAA2zYsKFFVDnSotN5rQ50O1Br3SKq\n0hEe7tbuvNJ+Oies9+3bx2WXXXZAj3++iLCaI6ZaY833q3z2pafx14s3df2Bl8PjkZccw5ob9s/e\nBK096scu5/FrH2HMGgom+iCsxh4lR+RZmrl65URSdqVciXySC2Xc/D5U2+pcmBJUxPELbpSMp1rn\nBwZxa65qDWXtsUQXk8pXFMcQJD4tg4nbYU3BV7WWvljgpXEerbL2k9mHAAOxOJsN6QHQBXJTfq/r\ncvsZPdZnpZ/D1uYprLRHbt3RbHrFWv7+jz/HSm9qyT49jFqjk0yw2ZzPuK3x0+oibtjxNH726xNZ\n821YdPs2Tt3zO0yl0hLEKByZ1Gq1ZNm+q4wYYxgfH0+iDw7kmBQnnLL/Nl0cRC2u+LvndaoGZUUM\nsxRDvRBUnUTfTLfsTEatNT/60Y84/fTT2bBhw5QKllsd2G772UUCC8Xw8DC5XK6l9eeS/J2wyq4c\ndcfoWsBhGBIEAfv37z8sohXaIcJqrpiQ/B2buPbLz+eCl13NqflyVy/zlObKvxrhY/e/mNLXb5/V\n0n3dV2brE0v8xaqfUY5HtoTWMqDz5OLWG0SG8tmQFWFuZWKUdA46tTknlJK5gXGGVEJmNWA0J9DG\nZnhLELcffbxEzDVsQC32cOl4JWIYm8+dXwpgqc4zHosvZ1wnriS5FmJZaYrKJBESsxEhbs6gO78G\nYTyPsLmNAWUZPTlkdblMOB+flVLk1q/ld29ezXUXfoynF8fa5qFpNFo1g1xN7Elrt2o0PaS6ZgM2\nNyyfGz2HG395Pqtuy7HkFzs5efvdmIkKDWn5CSkajQbj4+P09fURhmFSUSBlZC8UCnz+85/nxS9+\n8bz3N10b0OFMyukKhvsQLhQKSXioYzoBk/2eaQTRdI9101KcTkC1u2+mCpXWmttuu41zzjmHJz/5\nyS3CxJENLG3XKv3sZz/LS1/60hmv+1xxv1PXunViyn11XqpsBEdaUDUaDfbv339IRijMBhFW8yAc\n3c+6b9a55fln83dH3d31h/hLB7bxv141yYa7jqax+Q/drTBTCjasY/2fbuK5pW0s0iVIDStOj6dx\nc/9m47lK47xOvnIzBG2SV6VRzdgGmmZ1t1rPfU2PsymQo0FIzTSfExDi4yXVKGeeJ67SVE0dFBgb\nxS14KGpE4qusvNj3FcbH2hyz46X+fzaENmppuhBRMPhMrXgN6jxnnPkQ9VXLYO/eOV1fAF0u84cX\nreGmF1zLuQXVNgstPeC6m3FJbh7kpkBz456n8qUf/hHrbjOc9usthDseJZRWn9CBjRs3ctVVV7Fk\nyRIajUZSvSIWAtbaJEfoQJCuwqQFVXomnmtvucwmuhQ1zCCQZrqv3eOd9jHbKlVWVN12222cffbZ\nPOtZz2ppn6VpN3qn3X4Xsh2YXv3nbm4VoKtSZUNn3SpPJ6hGR0cPe0HlEGE1H0xIcdMubt+3Do66\nu+uXFZTP1WffzN+95DWs/cQk4a5dM4orXSrxh/+xmM8f939Z0iZqwRnYA6KcqpA6vp2aqt4t0Ye6\nbgkPbYoXnSSnV9ysv9hb5RH5q2o2GpNDG5+Qq7qM26ji4ysdj8tper+KyiOIz6ms/KSa40RdUeVa\nhkbPF+ft8pWmYsNk1t5Un1WON639Fn//uNcxcF9ubmGh2sOeehwnvPA+nlAweGr6lmVzUUFncVWz\nAb8PQj666+n85/fPYd1tIaf+ahPh7r00RFAJXVCpVKhWqwRBkLTY2lWtDjTuAzgrslyoZDoawtFO\ntDBDlWm6rzM9Z66iql2Mgtaa7373uzzucY+bIqiylbWZVkimt531YvUKJ6q01i2jkFyopzOpp43q\nrkp1uJnSu+XQnhp8GGD37uNXdx+XDBPulmcV9/PWvxjhodefiLdi+YzPV319VM+Y5Og2fxyBDRPB\n4aHYZwy7wjBpm42bKhVTn9WMQYcLA233oe4rj6LKUVC5xNyu0ZRUnlJcgWkQJj4hJ7zclsrap18X\n4qymeHZgbHSPVglGq/qcX8uL86/6dTEx6Hc6tm6JMrZar4tOvk4VbZ7SPLkwybY/DdADA7PfoVLk\njl7FAxcN8A/HfDlJrZ/p+KY7x4qp82/7TuRFX7icO991Jqe8fxPF235FY/sOMaQLXbNx40b27dtH\nrVajVqslnp10+yaXy3HrrbfOaz/dtAHbiaK0sTl7S1d7nDdrumpQt7e0KJnua/a+6e53oiMtQHK5\nHFu2bGHfvn1Uq1We8YxnsHz58pZ4gk4zGju1ONsJuZtuumlev7vpfpdpUeUM6tlKlRPE9XqdPXv2\n8Cd/8iePOVGFVKzmT7h/nONHQjae92Q2rvjplCG4nSjrPK9atIszXvcBXhn8Les+UiPc1zlDSBUL\n+PkGVRtSsi7Us1ktca21ig3xFPhAv/Ip63yLcJhr3EAnCsqPc67arKRLtbC0igc6K4Mfe4fSI2zc\nUGaDJYeXZGAtRDhmmLp+iV/MEnnWYkE3XZWvrPO867yvcsuKp866HZg7ejUPX7qeN174VY7P/PU5\n437WP9XO6+XOY7eZ5K82vZBt/7aBU767iXDXbjGjC3Nmz549DAwMJB+SThA4geFypXrltWrHdK0y\nUq2/rJhwlS13nCqzZH8g/g+hbipY3T5vNm2+bIVq06ZN9PX10dfXR6lUYu3atVMEXfaYZrpu6ZWS\n7XxWfX2zC5buFq11y4q/tEk9fS7u91GpVA56GvxCIhWr+WJC8j+5hx//8xP5f3acz6iZnNXLzyoU\neNWrvsHoH5/auQKiPcJVSzh6ySgVG5m6G8QVKSKfUb8q4CuPsvIoKpU08MZNNcqTij+UnTG917Sr\nHHmxQHG3ss7Tr4v06yJl3TqmJf3c6apk8yGwIRVTp2Yb7DaT0UifWJQSr3AMrIljJlrN3dmq1umF\nLYRLypH3rVuU4sHXHss/v/4G3rD4vqSqlz1GV7lzaHSyctJVsGo24Jf1kPO//zeMv/NoFn/h11GF\nSkSVMA82btzI1q1bmZiYoFqtJqNG0hWfQqFAsVjkmmuuWZBjaFeVyeJaSdnKVTrnijimoVgs0tfX\nlwiver3O5OQkExMT7N27t21lKd2+yt7SAZfd3h555BG2b9/Oo48+yujoKLVajWOPPZaVK1e2CNl0\nlaeb69Du2rW7lu7Wy3Zgu2qVM6unhZU7F3f9a7XaIZmW3kukYtUDTKXC4Dfv4btrzuN5b7yT55Ym\nZzXn73WDd3LH5eu4P386S79+H+HuPS2eK5332X1aP5eu/gGDOhIfBkMhab+pFvM6hBSVTrKcNM0I\nA7fyba7eq8MVJ0YAxkw06qZqLUUFRZVLVlV6cRiqToWktmNQ16guK1JUGmwXK+yUwlu8mL+95Fb+\nuDSB36YFqOMZiCYewuN8VV5G2NVsg7sCxSU/fD0n/msdfnMfRlp+Qo9497vfzbXXXpuYkLNVKzeo\n+aSTTuJDH/oQb37zm7vedjdtQMdMlSv3Ye0+sN19rmqVzboirqxkQymzHq52Ai39Nf392rVrUUqx\ndevWltZe+nutNcccc0zbtmQnD9hsrlE7f9l0qwN7Qfr36OI43L+XdKXTnX9a1O7bt68nx3AoIxWr\nHhGO7mfN1x/l/2x5VvvHpxmevEgXuXbdV/mLd93Kve88Ee+kDaCbokcvO4pHn9rg+f2/TSpTGp0M\nHU5vv6ByLNHFeLyLZcwaKjZg3NSo2kZ8f8BeU6VmA8ZNlVEzOWcP1uGCwVJSeUIsVQsTxlKMs6Hc\nqkKNikJWsdEw6VgwtaueLfcse0/KoYtdmHm1R27VSh594Sm8uP++aQWt+326FZdZGoRsaoS87o5X\ncfyHLfzmPvFRCT1n165djI2NMTExkQxCJiVMXCXo+OOP5/rrr+/ZfmcSU+nn0aa6la1eZYf5dmrP\nuRDUvr4+BgYGGBwcZPHixSxZsoSlS5eybNkyli1bxooVK1i5ciWrVq3i6KOPTva1evVqli9fztKl\nSxkcHKSvry9JG8+2yGbyTPXqOnY638997nPz2nZaVKk4VNaJqnw+nwgtd56kKoz79+8/7MI+54II\nq15hLXbzFh786vFsCSuzeqmnNEu8Mq8d3M5PXno19/9DH96pJ6ByOVQux/7z1nLF+d9kfa7ZPtNx\nqvi4Ddhvqol5vrlyT+EDA0ozoPMs0kXKKh+3ueIyOR4llY/uV80YhcNVYLmqlAsadV+b+VTRIOg+\nrfDj9zIXkOrOObQ2GeYcebBsy/Ydg7rIWRffhT5qaecD0h7e4kHM087gd+84lue++UcsiWMy2h27\na4c6sZfet6ein7c2alzxwMUs/Ug/uV/8TkSVsCBs3LiRBx54gNHRUcbHx5OVgsQVCleVKRaLrF27\nlhtuuKEn+52usjJddafdfe3ahFnR1W77nYzs2VZgth2Y/jlr2J5PVarTdWp37NM9393coO25kK04\npitVbgVgO1FljGFsbOwxE6cwE121AoeGhh4HfBH4wMjIyP8eGhpaB3wyDgzaBrxyZGSkNjQ09HLg\n8nhF/YdHRkZ689d2mGAmJ1l/81aecdwVfOqPr+cJ+UbLirYs7apYy7w+vnH+dVzwzjdx/Ecfj/+7\nLTx6psfz+39LjmYIaRRLEM3e69fNFXJuVZ1WCmyUGeUqMq5Okp7T1yCkYgKq1uArxaAuLohhfKFw\nSemuuuQrj0o8ZzAandOIqk9Y+oEQCKylrBQDOj9l5Z8XXzcgSojHENqpYZy+8njr6m/yltP+hvyW\nbdF4G6VAaZSfQy8epHH8ah5+Rh8XXPwzPrH8v1jqFVoytjoJ2E4REuOmxj/veC77P7aWxT/4LaZa\nnd/FO0KQ96+5sXHjRjZu3MjJJ5+M1ppFixa1tHbSH5wrVqzgk5/85LRJ2bNpAzJNZAIdhNR0RvSs\nkMq2+Nq11LLb6HRsMz33QNLJwM4MonUutGsBupFIbvEAscAdHx9naGioJ/s9HJjxE3RoaKgPuBb4\nduru9wDXjYyMPA24H3hN/Ly/By4AnglcMTQ0NM1/zj8GsZbGps2c9t4tvOG6v+Havaez31TbfoBO\nVxU6JlfmK0+7jtJ7trHlZScQLDJUrddiao4ylzwWaxd3EL3JuaHJoyakaiMRUbH1llgBE4+o2Wsm\neTSsMREPXnYZVGmDdMXUE9O3i22o2eCAV7U6XUO3MtIZwfeEUTZWWfuUVJ5iHAVRt5bx2GPlBkUT\nX6+s+C2oHAEWXzWf0+44TvY9dpyXJ7d6Jbm1a9BnnELw7LPY87KzufetG6hvHOXvXv1Z3rvyh6zO\n9VNQfvI7dLljpFqN6WiFrBgPreGrlXX89FNPYMk37sWMjS3AVX7sIe9f82N4eJj777+f/fv3U6lU\nkhypdAXHfbguXbqUz3/+8/Pa30x+oHaVn26EQicBlPZopVuH7W7p57drMzKNgMt+v5B0EpvzrZhl\nhbFrnzpR1W41oDGGarW6YCtID1W6qVjVgOcD70jd90zgr+Lvvwy8Ffg98PORkZFRoje0HwFPiR8/\ncrCWxpatrP1UwKfNc1n2+jEuW7S15SnuQ7XdWBLiD9qT/CKf3PAF7r/c4+eTxxHGK9UKKpe8vmqj\nQcnpbdRsgI9HWRmMgrq1jJkQdA0fL15FGI+jsTZx8lStjapbtkFZ6Ug8xV4jt6IvPTIlez50EY2Q\nFUednu/OLxJ5Nhnd49M03Ltw0rLKx1WqOpW4apWu0mFhzNYpqqgFGlgoqmimYcUELEpV6ELrzP2t\nK/L8VPRD+hwKyueZf3Y731h6FnpllT85+S4eX34EXzVY4+9lXW4/SzWU1NT2n1tsYLAtOfHZnx17\nzSTv/t6LOe2Lf6CxZ+6J70cg8v41T9797ndz1VVXJR+WAwMDyfL5dOXKfXjfeuutPPzww7MytdPh\nA7/bitV0YmumqlK3VZx2Mwln8/iBJFu5yt5uvfVWXvjCF864nXZVxvQChnaiyi0OcCsAL7zwwgU5\nx0OZGYXVyMhIA2hkynh9IyMjblDaTmA1sAp4NPUcd/+Rh7WEOx9l7UiO/7X+hbz4JdewxGudJThT\nYrinNIOqxDkFOKewhcD6iRBLC4BiSvDU4hVt/dpnQCnGjEtFb658K5BLRp9AlHflqWjAcnp1XCQo\nVBJF4GgQUo2rRMX4n09oo8T3IrnEfJ0+z2zUQyKYUC1ZVqREFbGoCQioGUOApYxJrlu0wtEkx1ex\nAVVr0fG8wPTxOnwVeasMMGZC+lRzHiCQDJ4OrCUE+tTMye7/tPq7vPwFP+Zor8LaXCkZixPlijVb\ntNP93t0QbHfe2ayxiqnz99ufw4ZPh4RbtnU3AkkAef/qGe94xzu46qqrOP744ymXyy2rBNO4D+71\n69fP2BrM0o3Ama5iNVdR9Vgl296cqRro6NSyzQafurafuzlh5fbr5k8eicw1biH9zq6mjt5tuf/I\nxFoa23Zw4qeW8oZz/5SPrv8qJZWfMZ+pU4BndiWZpxQ+Ok40t8mI3rL2MZikmlVU6dc05+n1U8DX\nUUCmr7wWgdOwQTJCRseGalchqtlmFcknqmZpFbXWKiZIAjb7VWHKeRhM8hwAzyrKmqQq5o7RxQtM\n2qgKlexPNWcJOh8VsffI+aay+3Zp9AWVSxLdA2vIq2gET9U28OPqWNWGmFiABTY6j3QFqV07sl8V\nODNfx49XawIUyKVajVM9Wi7GwVXlAHRcjUu3eonF3r/uOYtffugJLP35bzCSU9UL5P1rDrzjHe9g\neHiYgYEBFi1alHzIZsnn8yilGBwc5JZbbuGhhx7iyiuv7Ho/7Sos07UG232d7ntmUaWa7XO7IVvZ\nWshK13Q+qw984AMtERNuBiNtrqfbhvudu/ZvOm09/e/BtQCPJF9Vmrm6lCeGhoZcf2NNbADdEv9X\nH5n7j1xMCHfcy563rePxX34z14+uZ2c40fHp3fqWPBWllrvVfMQr/NyoF4DAGsasYczYqM2XqXI0\nCKnYgH2mwZ6wxritJd6p0NokBZ04ZHSvqVIxKZGDagn/1OhkZE22PenOLT3WxleasvZbHk9/76pH\nGigqTb/y49E30Yq5SCDZRCyFseO4rPItoorYb1VQOUoqj4mvw6DORwLMVZhS+/dQlOMU9uY1MS3X\nJP27cOffer42WY2YXm3pvneVNLcCML09R802+GF1kJtueTZHff1+zETnfzvCrJD3rzmyceNGdu/e\nzejoaDKsOb2SLuu7KhQKbNiwYdbG9U506xOaSVR1s5927ceZVt7Nhnaeq/n6sGZqm6Yf6+vro1wu\nUy6XKZVKyVd36xQXUSwWWwYsp9uA6WrV/v3753UuhzNzrVh9C3gJ8Kn469eBnwIfHRoaWgw0Yn/C\n5T0+3sMOG9RRP7mLUx84ik8950/48uvO4D9P/vK8V941V/m1z0QKrCWM/URFpSPxYKKxN66NFs33\ns0xYw5gJqcTBolGlJg7Uiz1GvjWgmsbvgsq1tLV0LKii57Rma7kqnY8XjWbRzRZgzQZTvGa1OG/L\nVX3czMAsUWXJENioqtQfi0q334qtY6xNKoWhNcl2nAAt4BNSx0MxYRpR+08pCvGfhouhcOTaXO9I\nMGZ/Nwpjm49XqTcHR6eiHtKtzzQGyy5T5133vID1XxmNQmOFXiHvX/Pg5S9/OR/72McwxiSp4apD\nqne3w3+nq1J1EkazbQW2+7nTcRxOZFt+ne7PCqxyuZyM+3E3l1fWyaSfbvtlZwK6apUbWXOkRCu0\nY0ZhNTQ0dA5wNXAsEAwNDV0EvBy4cWho6C+BzcDHR0ZGgqGhoXcC34hL6BudEfSIx4SEO3ay+IsT\n1Lefws4bK6zO9bd96nwFV2AjD9SAzuEG5IRYRk2Ib6GoLIt0kVL83tFQIcTtORM/t5xpDYZWUVAW\nP56r51bRZY/bx0vmALYztEeVnVYR1c5jFUUeeElzJru/qH0ZiRd3vD4enmqOoklabE4Y2eZsxYLK\nxYJOR/lW1kYjdoi9Y7H4ciLKVZnaBXs2Df2mReRGv4eotVhQlrLKt3jkSLd9nbhKtYFrNuDzY49D\n3XoU6ne/wZou0t2FKcj718Lw2te+lmuvvZY1a9YwODhIqVRqSTUn/gB3qwjny1yqRbMRVbNtDR6K\ndBJY2ee4r04QhWFIo9FAaz2jsHJVLNf6S39P3AKs1+tdGeMfy3RjXv9lvIomy3PbPPdzwPxiXR/D\nmIkJ/B/dxWsfGOILJ30xqZo45iOqXJvJeasKqml2HzWTaKBqwVe2ZT8eGjRUTIAXi46s2HGiKYj/\nZhuEcep7q0gqKH/GdmY7QTblZws51fmaaHQiVNwMPWIhlFPR8dVM8zgqNkCrpmiKgkKDaGyNtUn1\nbUDnEr9Z+ngaNoy8Y22OxxDNbnTVO/faKODTtTJzU0RZzTZaMrOy1/IPDcMHf3IBp313G43K7AJn\nhSby/rVwvOlNb2J4eJiTTz6ZxYsXMzAwkOQXZQXWTHRjqs4+v922Z7p/um09FlHTjLfJBpg6YdUp\nXkIpRaFQaBFVYlhvz+GTBPkYwdZq1N+ziqf+6uX816RmZzjRk1yotKgqxREExJWTmjUEFnwF5Vj8\nOP9PtG+bRDCkR6mks6+aA5LVFD9Rml4NT05HIGTRsb/LjaFJG9txviWlCOI2J0At/prDS1LrazZa\nbeipKNNLoxNR6dpz7jpFMxennldgQyasSUz9kVetkVTH3EBn57GKkuEbLdc5e80Mls+Mnsu6L2lZ\nBSgc0mzcuJFLL72Ue+65h127djE5Odniu0pXM7plulZgL0XQodr2W8i8q/Q5TzdMOj3rMJfLTWkB\npoctpw3rtVqNiy++eMGO/3BBhNVBIPeD37DiDRXe/fa/4EnffjNfGF/RMUi0E2nR4yinBBXxB3TF\n1vFRLNaafByfsNtMMm5qyVBiFzCq4z+4mm1QMfUp3h9XzdHx4OeZSAeaumN2I2fcLXsO7udgmsHG\n2WpaDi8RWp7SLVlURRWJKN95wNLnQ2TCfzSsYdrM56vZRrzi0HSc7+cpRTFl5u9XBQoql+yzaiM/\nWy0ePeRailF1r/0b6F5T5RM/egoDP3sYW6u1fY4gHEpceeWV/PrXv2b79u3s37+fIIjeW5RS5HJz\ntfI2me2KwG5f28vjmQ8LLaayP7uKVbvRPGnB5QRU1leVrlyJYX0q8/8XL8wa22jQ+MMj9G/fyam/\nXMX7n/cyPnPJg3zouFs4poP3KkuDcIqROhI8Hg1CGrHXysfD186wHvl+6tZSx9IXt+9c+62sdJIx\nRZv2FG0qSe3iIVyFhlh4eMlg4aht54zp2Ywnd15u/646lpU02X2mvw9smGRbRZlWfuzRikJGnRE9\nSL7atuOOnXCsWkNZe1RtI/ZetR5NGIesljPtvgK5ONtLE8T+Ka1Ui5HeV9Hvysv8983Pa0dx9HcV\n4S4xrAuHDxs3bgTgmmuuYf369SxatIhisTjrilUn5rIi8FDhQIeHtvNbqUxoqKs0pSuDJmWhaHe8\nLm3d9/2WKIZGo0GlUuHSSy9d4DM7PBBhdRCxQZ3G5j+w8qa9TNy1gWe/4U3819OuZW0X4mpqEKdO\nIgoAisqjqHIpH1cUCVC1IfmkwtIqTrzYqI4Km8nlbYgGGjfzrLCtgsv9L9qrlwghJ1Zc5Si0lhDT\n8tqsqEqLlZYVdNOkvTsju0ZT1vnk7KOjjqp4HopafA7lOAIixLYEhjpMHBNBW1GnEmN8wTZN9k7A\njcXHWdZeIqrS19GtDHRi6+FGhTf9+DWc+rOtNGTAsnAYcsUVVwBw3XXXsXbtWvr7u/uPRWYRYnmw\naSeUZpNPlfU9dbP9XuG26zxWxpgWn1X62mfPp1AotPjnrLWEYUi1Wj3iDetpRFgdbKzFjI3h/eQu\nTtq5nqe/6Ur+z/+8kScW9sb5S+0nkWerSQbDPuN8PVC1DZZq3RJ76FbTmaQi1X6cznSxiE44ufR1\nNyImXZXSaEqq1QDuHnNjcgIsmnilXSo53sUhtMvBmozT4gvKp0HYtprl/Fekxt+0npuhrPKMmmp8\nn6Ks/GYelrWgmlWtotJx6rtue1xBnLUVebYaybUzRL6rYpxq744lPRYoPd+xZur8op7nz79zOad8\naJzGH1rHIAnC4cYb3/hGAD7ykY9M+7zphNR8s6MWog04H7oRW908txuyFaps9ILneVhrE3HljOtM\nUx10eWUOtwrw0UcfRWgiHqtDBNtoEN73IKe8dxNX/c2rePINb+WVm57Hrg6Bou0qNUXl2leRuHLt\nP2dWj4RIXHnBUol9Tlk/U7aqkg7JJDaA+3hxsnu0itC1/5JKVcqQ7YY4R0OdQ8asoW6bOVWTts64\nrVGJPV/OJ5Xerwvxa9I2HwAAIABJREFUTAeSZnHH1xRXna9bZEZvZl+VVBQY6iuPMVNPzSbU8Tb1\nlNZrYEPGTINRY9kR1qnYILm52E8dG+crJsDEFbFIFKrkFtiQuwLFa/771Zx83ST27vujcFlBeAzw\n+te/vmfbmsuqvwPBgRqwPNf9ZUVVeoFB2muVvbkKlvNcpWdEOlG1b98+Xv3qV/f8HA9npGJ1KGEt\n4Y6d5L+5m+N/3MeOn5/CV/7lOC5btHPGl0ZtM40fj5dxwmLUVCnGZmmXI6WJZtm553UyojvRFXmi\nwmQbxB4iUiJo3NSSVHVXrYqEVJCY48Ej1G6ws6akojZdVLUKqcXVm0a8UrFiA4qxiDKY2BTux+fb\nbM0Rv85g2gZ40qaFV9Y+Gp3kWTWvo0uOV3HOVZRDFRAm55xmQOcITAMdB5mmYyCKmGQwtB+Hobpz\nTudV7Qjr/L8Pvox1n/Dg7vuxMrZGEFo4lDKmuqkkpZ8zn+HNnVqO0/2cplO2VXa7TkCln5sWX9mq\norWWer3OxMQEl1xyScf9H6mIsDoUMSHh2BjFnZPottbqqUSVDycyohyryKxuMbEoIv5AL6t84lfq\nJKq8pGUYTllNR6aqZTBJu8z5iKJqTjwEWjVXEfp4eFq1tjgtVONwTufd8pVHGRfqaaa0RdO+rHSA\nZ802IlN8m3NyFbXANq+Hm4PorkWDkLL2U7ELBqwXu8Zsy3bdNS8rRVG1eqhcxdCPIx32mQYDemoY\n6pipc+O+J7L70+tY8d+/JZRVgILQE2YjVrqlG29Vt6/tdlvdVqdmMyIn7fEi1XJ15vVOXjeXadVo\nNKjVarzkJS/p6tiONKQVeKhiLd6+Cj8ZO6FlBZ5r7ZHJeGrJTYoN2unVce3afVljeBYXC0A8e3Dc\n1Bg1k0lbr9l60/gZ8eVaglVrqdpGYjov63yLQEpm8MV/4GOmnggxF1vQrwvxOQZUTJ3xOLYgvf/I\nmN9o2XcWjWpZ8ahRSVRDYEMmbT0Rg+7Y3OPtvG6e0nFL1SaLBtKE1lKN2559SieJ7s1rZPlp7Sg+\n85Wns/LrmwnHxtoetyAIhw8zCaED3TaczTGkW4OuUpV+TVpUveAFLziAR3x4IcLqEEbtH+cHjxyf\nmLaJBYGJhwNP2jqjZjIKsFSKAZ2nXxfoVz6BNRhrGdBN8VQx9bYCynl/0mIlTUgkEMasYdSEjMde\nKFKCrBDPwTPJ4OJ4BIJSlFU+qfg4ceQ8VG6VHrHfyW+phEXtwF3hZDSPD42nFNWWOIdmsKlLOM+2\nA9Pn5IYxZz1qFRswZhpJdc5dE1fJyprP3fe+0gzqyIsVRUU4T1iQmN/d/MGsuB01Vf7urhdx/Mg+\nGtt2SBCoIMwhhb0TvRYwcxmaPJdqUy+Oe7ptZP1W01WmnJfK3YIgoF6vs2ePRMFMh7QCD2Fso0Gt\n1vwVJSLCukqUphp/gHtKtYyiKTvvEoAiiRjIErX8wjj6IMqA8q2XrM5zYmBA5xKvU+DM8KkIBff8\nbFbVmDVUwknS9Z5qvJIwBPqUjvxOKaN7YEOqNJoDlpVKqlgaj7Ly8ZRK5us54ZM+/3SWljO8t8Ml\n1ju55MdtTF8RrxA0aLxkNSSZlYjG2iRSwSiLr6Jw0oLKJTENLrXdy3xQ3FUfoHjrYvj9r8SsLght\nONimdMdc231zvX82xzWXx9IxC51elx1rE4YhtVqNvXv3ill9BkRYHcLYWh27uY995zfoTxVYnMBw\n8/TGbQAWBnU+ijKI/UbpKku2DZXGPbdmA2rGUiHAU5EPqkCOArkWT5OvwjgYsyl8/LhV1rABgY2i\nC4grVnVrKbrVdUqBCfGVohzPIHSCKIyrbAGGirXoVBxnaC051axi+eh47l/UPiwrn4JuGsIrJiDA\nRlEHHQztJALMxLleUZaVW+moVXSOLpPKiU8XdeHiI4hLv77SFJRPyeXEpN60XAUvSrQ3PNiA1/zo\nrzn1v7bQqFZn+S9DEB67HIhW2WwEzVxF0XQeqpn8VXMVXN1eO5UakJ1daZkVVMaYZFCzZFV1hwir\nQxhbrbH0Lvjh5Dpe0r+rJffIfbj7eGgbJAKDOBxU01rpMl38weXwKKhIuETVmuZj6VV1LsG9aix5\npSinBg87ii3CzrbMGPR1mKxGdN6rxC8VB26WVbQNJ3QCG7LXTMaz9yzlVMvPQyWm9IqtU0v5mvw2\neVZpQqIVij5eslIyCUe1UYXKGeqj1l5TZPrKi8/TJj+37Ms2g0KJfz8f23cW/37Pkyh/t59TbttO\n4+EtM/5eBEHoPd0II2ZRNet1qGe3x5f9frrnp2+NRmNKGzAtrtKCqtFosG3btp6c15GACKtDGWso\n7Wlw1+Ra/kd5C2XdbKi59lS0oo3EPO4r3TbjySV80yY5Pd1CcyGizdVyzTBQ30biIz2Hz1ExQVKx\nWeKVW3euWmMRmgLGrbaLRJ3B0q8KeLpZHXOG8qqNVuQFRNWvQixwnM9Jo9lrqkwYy4BW5JWiXxda\nzrt99lfzT8An8oJFJvdmJlbadZb1bxWUn3jE2uEqYvuM4cfV9dxy9QVs+N5Wwq33Etbr4qsSjgg2\nbtzI8PBw189PV03m2yrrVpxkmU01arqfZ6p4TffcduJupriFbuIYnGjqlLJujEkEVaVS4bLLLut4\nLYSpiLA6hLHGYrVidX4fvtJJ1aScmjdniNpYY9bgxxWfQjyDrmYaiQDBrWJLJacH1oCNKkMF/MQ/\n5YzWkSHdw8dGA4lxQ5t1koGVi2cTEou3bHyDC/d0yebOdxTNMbSJgNNq6h+/CwUNYlHlPFn9uoAX\n50JFVaqQQe2hLfTpqKI1qPMtx+JG1WRnDHroODxVxdenWUVLKoTWEhDEo3LapNV3GNET+bdCHmzk\n+d/bn8Mvvvo41t98B41KRQSVIMTMFAlwqDGfNt10Y2xmeu1sntPJJ+V+rlarLaNsHO77RqNBEAS8\n4hWvmNVxChEirA5hlFY0Spp1/u648mJbDOhufIyvoIyLKwhBNysoUUJ6E9cWjNpn0bYCa5LxMv26\nkKwybL4mjj9AJa21dMvL2MjL5I7JS5nHoyRyiw8EQGhhsY5WyTVDTOtJFcqZ4KPWo6JADh0bwgcy\nWVGhtQTW0K+i3KklupQIwIoNkjl+brBzSDSUOjsOyFW1XPTDuKlR1n40NzFGo5NjS+OiHdqZ06u2\nwVcn1vMPP/0z1n0ux7E/uY9won2SviAcyXSzuq6X2VNzZbYzArv1Yc3VXzVddSorqhzGGMbHx6dU\nqtL73L17N5dffnlXxyBMRYTVIYwNQ/oemeSLu8/m/OI3khRyUp6kSHzkKaloNIwhpGYN5difFH3w\nt7av3Cq6gpuRl3igXDvRS0zbOq7oEFdmnHhIe67c65yACWzIqKlTjStIoY3agUUVGcRdi47YaB7G\nLb4JU2epJq4sRV6nnIrEHKoZNdFIxT04MZYeVYOFwFpGTT25DsSjZfrja+a1aZe6yAmHSa4fLftI\n4ypmoW3gKcWgzkcDn63haxNHc9XHhzjl8zsxD/1Bwj8FYRq6rcocrCrWbEVVu+f10rzeyWM13fdu\ndd/ExESy/Wq1yv79+/mHf/iHrq6DMDMirA5lrCV31yZ+8Zkz+NzrN/HigXujlperuNhmFKanNAX8\npLI13agaJ5jc6sKQRrLqzm03sFH7L8QmK/90XN3CrYDDT/bhYhaqcdp7XimK8VDjxVon/qv0KBov\n9kb1KU01Hlhcsw2qcbUqauc1Te6Tth61Bl3YaKaCFe0/8oOFQJFolV/FhJS11zIMOYs7fuJ2qotc\nIKlGtZ9N+GAD7q6tZXN9GdvqgyzJVXhc6RF+OXEsX/33p7L+P+4j3LVLWn/CEc90Pqts6yr72Eyr\n62Zqsy2EV2s2PqvZbpvMtciu2Gv3vHYiKv19OpPKDcgWFgYRVoc44dgYa27bzUee/VRecNbv237I\nR8nlUeBmQfkU9FTxkCScxxUql8+U3IfFWEOJfCzScvFzo7Zg1EqLKku+UhRSFR/nSYqEk8ZXIcZa\nyvFxNCtGQZJvBVFlyrXYyjq6r2ICiioSYmkflo5X64WE+Ch0apUhiZcroKhylOMsqooNqBrDgG6G\ngrYLQCWV1+WywYo633HuoON3QY0X3PZmFt/hU95pKO4K8CYb/EifhzdaZfXmOyVNXRC6ZDpxxSyF\nCm3M57Nd5Teb13TTDuxGeHUjsqa7P7vyL9sCDMPw/2/v3oMkK+s0j3/Pycqq6uwq+wJCN+11FRYd\nCGfWGNFFBpB2wSsbK7yoLBIqIsv0zjCszLSjYdtOuDriLI5ojOw4eJ+QdyTCy+CqdHsHxdYBsRlU\nkHsj9L26bnk7590/znuyTmXnrapPVXYVzyeipCrzVNU5mdYbT7/v7/zexrY1snAUrI52zsHjuzn4\nyEnwh8y6Y21mlmUmFLSbpWqWhpKQgBXBIIfiMjGOoSCpkSoEISsYnOlZFcz0pipSmFVvNFP4ncw0\n1fzfcnp8tkFmGsiy285k+1iVwiRcjcd1asBwELMqSGbW0v0DG0HQL1dW4qQ4Pjt7VfG1XWGHGadU\n1JiFS2b7hpuajTJr6TV5bCye5k13vY0XXDeGe+gxXK2OiyLfooGe2luISKJVsTVdwsd8+kjRY1jq\ndkyn391tSa+XZcBu5wftZ6haHZftnl6ttr+LWfKhLW2WgHhqimN+EXJ7+QR/h52bNdNUdhEHfbhI\ntZqZSTdGnnA1plzV12QlP2vcxUymW7Fk6oxatW7Iqrh6smToZ8RqLmrc+YcPYUk91wBDQbFR+D7k\nC84PDzDpHXkBJb/8OHMuM8X2FRdTdhFTcVKonoa49Npr/i7JlX75L21Nke6pmJXumzjgA+OKYLDj\nNddcxBcPncTqz4wS3/cQ8dQUrlZNuqc7p2U/kTa2bt3a9rl24ar5827f1+q5dt/X7qPb97T7Hd1m\nluZyja3Op9Nj7a4pG6qiKOKCCy5oe32SD81YLQGuUuG4Wx/hL099M6vP/0deNjTNUDBA0S+9TbgK\nsQ9YNVdu9LvKFminzUSLvodUaiwuUwxChoOgcWcfvkP4lKtR80uA6aJY0d/NF2eCTEzMhEsKs9P9\n+miaQWvZpsDPUqUhsO635in5Lu4zW+jM3j4H3/JhOBhgPK5S813gS4Gj4jubp41GAQ7E5cYrMdym\nxioNXzMtKdxhC4HpNUy5Kn//y1dw4s8fo17Tv/5E8tIuIKQzVPOZpZrPEuBcfnanHlS91H31MlvV\nS21Vp6CYhqqJiYkjeg2kN5qxWiLqjz/BSZ8/xLt2XuhbCcx0/y6FxcZGwEmxdq3lhsrFoEApGPTb\nrgz6GaSk/cJIUKQUDDISDvti8XR5LGDY79VX9PvezdQ8BQwFA4zHdcbiiKk4WTYcCoqN2alexL5P\nVlp4ns5mVVyNsbjaKJifqeUaoBTM1EAVfChsnpGKgINx0ucrbnSk91vRtJjRy4Yq/MxX+pENhk9G\nMcM7VhLv00akInPVbtaq3cxTtxma5u9pN+vUbTaq3Tm1m6XqNtvUy/V1uuZu59T8/a1+Rna2qlwu\nc/HFF/dw1XKkFKyWijiC3z5EeMsadlZHD3t6JBhiJBhiNBxs3IHXLG0OmtZEhaRBKfQzYDNBKCSc\nNbM1FISMhoONVgmFIMyEu5nwlRS6x36/vir15J7DtkXjyZ57MTWiRl1SzUUcisscjOuUXXY/vsAX\nug82zrVAQNFfB8DTwmFWBIMUKTAcBH6zZ8ca/3hzr6msmosaLReSV8o1zjF9/Q5EU7z/sdey7ieT\nxGqfIDIvrcJVuyWtTs930mlZrltg6laz1OvXc1kC7LTs1+71aPe6NC//VatVDh061PH1kvwoWC0h\n8fQ0x39/N9fcewEHoqnGbEq2TikkTIJFcHjxdTorNOEqTMVVJlyFyDcZzUo7qad1UrHvATUeVw+r\nwUqfL7uktULkHBOu4o+t+w7vka/FqrWt/UpDVeRcsjWNP64UBIz6LurpxsdTcZWJuMy0q1IKi40w\n1dxrKpmlSu4wxAekmVmu2dechs4oM3A1NxLdF09zye/ewK4PnUjhzt+olkokZ2kYSDUHirmGrV4D\n2FyOa36s3fPdZqPazXh1m3Frd83NgSr7MTExwdvf/vaO1yf5UbBaSpwjfvgxBj+3hg/v/c8ciKep\nEx22tNWunqkQBMTOUXFx0hE9TjqaT7kaE65CxdUawSkmKRCvuXS2KAkqU36j43SpMdnfr8ix4SCj\n4UBSGB8nwSvpgTVzXukyXPq9jY9MvVbF1Ql9TVchs3yHv9NvIq744vuZPQvT2bNkSbGW1EcFAaWg\nQM1vo5OEprjt3YHZmrG0uD57bM1FfHzfSzn4iWdR+u5O4nL5iN5Kkae6TrNWcRx3DS29hK1Oj/Xi\nSJcCOx3T7flOM1WtAlb6mjWHqsnJSW1Ns8hUvL7EuEqF1bc/yr/8+DTe8rqfMBrS2Mg47aDe3Gk9\nNUCBYhBRbPScSmakpl3VB5Uqq8JhRsKi39w4abiZDVjDviar5rfACQkohYOza5OCJMykPavG46Qr\neRRXGz2xikFS9zTki+oLYdKSYcpVfcuDsLEZND74NO4Y9H2sCplmozS1cBiLq4zHSbuFlWGyvcxI\nkNRttbrTMXktkk7vrcLXndWYr375DJ61/V6iqakjfh9FpLU4jgnDsLGXnWsq7nZtitnTkNGqmWa7\nBpvdisR7aTba7hyaH29uZJo9rvnzblotmbYKVeVyGWNMTz9T8qMZqyUo2r2X4+4I+HX1eGhqiVD2\nS26titcLje7ns9/2pCmma4QnMstmScPNAqPhAMPpcmMwU9ye3eA5DUFTccS47wp/MI4puyT0Tfn/\nlv2WM/jWCWmrg5CA4WCgEZiKmdmqdBatGCT7DMZ+n8Cai5h2SS1X2r5hylUpuzRUzdzteCguMxXX\nWvb6Ss+/Vah6pD7BRduu5Nk37SI6eHBe75mIHK7drFWr2ZdeapFafd3usebHO4WaTj8z+3Wnz9st\n33U7x16us9XyX61W012AfaJgtQS5eo21P9vDe+46nzsrySxP2oBzOBhozOyktVJZSXgIZm9FQ+QL\nvcOZzZPjKgfiad/7qs7BuE4NRw3HeJzsj5cuHWYDXNKnKmBVWKDamOVKNmAuBsmM18owucNwZuPm\nbP8tRyksUgqLjbCV3qVY9ucyHkeU3czmx2mdWDYUDQcBo2HASFD0bSaSuyZHwqGOzUKb7Y0mefO/\nv4WT/qlC9Ogu1VWJ5KxVuMqGqebw0Cmg9BKouoWp5ud7WQZsd07twlCrc+50js3HtquliuOYer1O\ntVplenqaSy65ZB7viBwpBaulyDniBx/luR+s85Yvb+IzYy+g4mo+iISzmnC2KhZPa53SeqciBY4J\nV1AKi9SIGnVMRb+X37Dvc4UvUi/45bi0Nmo6U3M1QIE14QpWhStYXyjxjIEVrC0MUQoCin62q+pn\nx5LapyRM1UkK3NNGouldjXUiJlyFsouS7aSDgJVByGg4wEg41AhlaQ1VGiaH/FJi0ophoPFze+1M\nj58lu2n8ZKLPH0d49/24+uHNRUXkyDWHq1YBojlkdQstec1atXu+3e+mwyxVL4+3+8jO4rV6faIo\nolarUa1WqVQqXHTRRUf4rsh8KVgtUa5WJf7Vbznxkw/zf7/8av6tOuw3V54dHFrNzsTETLlqUoTu\nm3Jml/6GggFWhYOMBEOUfIuF4aBAKShwfGGIYwsreFo4zKpwBQDjcd3PXtVn/c4Yx0RcoeYiRn1x\ne8XFrA4HWFsYavye7JJfWqeVLvEltVIRNecokhSkj4RDjeA15Gek8CEsvcOwkpnRmrljsnX9FC06\n1UcuZm80zUdvP5e1P3iEWHVVIguqOVw1h6rmmZleAg9zmBFq99Hue7r9rlYhqt3v7nZOzaGq+bVo\nDlWqq+ovFa8vZXFE/fHf89wvDHDZiv/Blef/Py4Y3cn6Qqnjt6WhZCquJQ80TeJMuBpDhIxktoIp\nu4jhoMB4nHQaHw4KhC6tr0oK1ItpewZfNxX5AvaSr6GK/F6Ejeah/vdm2zfExEzEtcYdhSEw6Le2\nCYOAmouJqFIgmLVFTvpzyq7KlHNJXy0Cf5dgEpo6barcfAfg/bUK7/j1W3jel2KiJ3f3/p6IyLyl\n4WrLli0454iiiCAIGi0YskXrrTYTDsNw1nGpXovXU61mrtoVxbf6ulsheq9F693CWTZUpR9vetOb\n2v5eWRyasVrqnKP+8KM8/7r7uemD53Hpb9/MQ/Wptg05U0NB0v/paeFwI3DMtEJIQs2EqzDt0r0F\nky1zikHSOLTsIvb7bW9GgiKj4QCloNhohTAV15hwNUpBMdnEGUcxSGbEaOznFzWCTxquyq7uZ8Bi\nf1dg2Gj1kOwPGPvA1XrD6WIQcmw4yFAQ+i1+Yl+w3nkj5lTkYu6sxrzmlr9gdPMwA7ffoyVAkUWW\nnb2q1+tEUdRxabDTctlcZqHmslQ439mq5u9tdx2tZqmyz6WBqlKpUKlUGBsbU6g6SmjGajlwjmjP\nHlZ/bYrqkyfz+ivfyZf+0438weBAx21l0i1cmgPHcYXSzIbKxJSCAqVgpkVDHDimXJViAKVgpnln\n5JIO6vi7/arOUaHOpIsZbNRWweowpEaytFfzM1qNjY8djIaBD2eRL7RP/gWQ1kxFfgPqOlFjP8Ck\nu7trBLd0jgzwHde7h6qKq7Gz6rjoO3/KC67bTfTAI0nHexFZdFu3bmXLli0AjWA1MJD8fWdnsbLS\nNg3Zdg3Zx1KdZpOadZrtajez1Wk2yrVoz9BKu1CWLVJPC9Xf+MY39nw9svA0Y7WMxJOTFH+8k2f8\nbYi54x08GU03Zq46bSmT3Qg5JGRfPM1YXGZvXGV/XGfKRf7Ou5kZorTdQfaOvjjTEHTKh6gayX/L\nvlAdksdC30C05Jfy0iafhSCZDUuK4/E9r8Kkv1Yw1NiupuY7wU+4CvviacZ9j6yQsFH8vsLvfdgt\nVEUu5pH6BJc8eB5vvf4qXvi3exSqRI4C2ZmrtIVAGig6FbW3m/Fp9flcaq261Vm1m0Fr9Xmr39/p\nbr/skl+1WqVarTI5OalQdRRSsFpmXKVCcOdveM7fB1x4z6U8VJ+i4pJaqk7hKu3jVAwKFP3+gWvD\ngUbbhPE4uWsvuXuvxqSLG9vYkFnaG/YbPZd8u4OkB1bAqP95wz6bFYMwuSPQN/5M2zzg67eGggGe\nXhiiFBYandNnzjdoHBf7cyi26TbfzVRc5dbpFZx5y9WMXX0CG274JfUHH1aoEjlKZMOVc64Rrmq1\nGlEUEUVR29DU7k66Vp93Khzv1v6h3ZJdt0DXqiC/OUyl15r9qFar7N69W+0UjlJaClyGXK1K+PN7\nWfXXJ3Luf38XH339F3lV6UDH4u1UMShQCouNGqYYB2G1MRNVdnWKFDi+kNwRmF0GTBp4Fqi5iFJQ\n9Bs+J3NTWVXnKPqlQHxQmnJVYucYCYcand+nXZWK8/v3xTVK4Uwz1LQVxEhYZMSfR6Pze4eta7J+\nX5/gfz36On7zuZN54Tcfof74E8QKVCJHneyyIL7uqjkAZZcJm5cEWy0NNn/e6SOVLuNlH88+5nLo\nsN4qlDV/aJbq6KZgtUy5WhV++Wv+4971/NXUJZTNlzlzxaO+zUGx4/em/a8KQQg+UNV8vdS4i4lc\n1OhoXgoGG8eEhIzHM3flrQmHffAKGIurHIzqFAMYDQuMBDONOsfiacbjiEHf0T1ySVgbopjcHehn\nq9I7EtMC+uwdgclFz+4G307kYnZFU7xqxztZf/0Qx+24m/rk5JG83CKywLJ3DJKpu8p+FAoFwjDE\nOTfrDkFaBC4y2+e00hyi2oWpVtvWNP/eXkJVu8L1bE3V9PQ0l112WY6vqiwEBavlLI6oP7aL538q\n5uP3XMRfv9zxtj/5AZev+QVrwuGuhe2p4WCAOEhaJ6zyS3PFIEzuuKPKSDAEfrZrmJgCMaHv7p6E\nM5IO6GF9ZlPkIGk0GrmYUjDIcCGtBXOEgSP2hfOQ1mc5in6vwqSLeuGw8++1QP0rE+vY8o0LOenG\n/cT33Udcq877JRaRxZVdGtyyZcthS2thGLb9aA5c3WasUq1CVvPjtAhTvbZ96DRLlfamuvzyyxf0\ndZX8KFgtd85R3/U4T7t5L6u3jfK9F53OZ887m5eefi9/tv5WTik6SuFg229Pg1EpTPo7RSTLdSEB\nQ0FS+9RoCOqfByhSYNpVfaF5sgUOmaK+pMXCzO9Jlykj6o2asJpLAtrTC0Ozel3NR81FHIjL/O/d\nZ3L79X/MSbfcT7R3r7aoEVnCsrNYcRwzMDDQMVi1C1rdlgLbzVRlA1QvPaxaBSr8zFk2VKV3+1Uq\nFa688soFfx0lXwpWTxGuViXau4+B7x3kpF+MsO85G3jHmX/OyKue4AMnfo2XD5fbLhEWgpCCv9tu\n9g9N5pSaQ0/k9x9M7xxMe1HNOsY5Il971TzzlH5PGuBiHGEa2IJCxw7qzSquxgO1Gn+z6zX87PaT\nedatNY657W4iLf2JLBvZgBUEAQMDA41lwV4+0tmrVmGql8DVPMOVahWwso9lg1UURY27/a644ooF\ne61k4fUUrIwxpwBfA66z1n7CGPNZ4MXAPn/ItdbaW4wxFwNX+X6ON1hrb1zY05c5iyOig2Pwy0Oc\ncF+J4NYNXHPm5Yz81yf4+Elf7tr7KiudzcK3WoiJKVJgOBxggAKxn9FKO7wXMu0aakRJfZaX7vFX\nCAKKfr/DNEAVWoSvTmou4sF6mc8feCn/fPcfs/r2Idb9aD8nPXoP8dQUsRp+PqVo/HrqyAasWq1G\nEAQUCoWeglYvs1ZzCVVZrcIULQLVpk2bFuy1kcXTNVgZY1YC1wPbm556t7X2X5uOex/wEqAK7DDG\nfNVau39BzlyOjHPEk5Nw730c/9BjBN/fwKXn/gWnX/xvvH/ddo4JV/Q0K5QeU0j/NzO+JDVUASNp\noWimZUK6WfTFvnGgAAANTElEQVTso5Oaq6Gwc3F9OxNxmR+XV/GXO/8bhe+s4fifHeLkhx4mHhsn\nqte07PcUpPHrqam5Dqvu/zGVBqz0v9mwNZcQ1e65djNU7VoyRFGkpb5lqJcZqwrwauCvuhx3GrDD\nWjtGMlDdBpwOfCOfU5UF4VyywfCv7+eEx57gvp+fzMtf80c89yWP8mfP3sapg3s5voc7CdtJZ5z8\nVz0dP1eP1Cf44BOv5Hvf/UM2fL/OM3c+TrTnAVy12uizJU9ZGr+e4po3d8aHrTRYNc9mzWfmKsjs\nYditYen09DSbN2/uy2shi6NrsLLW1oF6i92yNxljrgZ2A5uAdcCezPO7gfW5n7EsDOeIx8cJb/8V\nz7tzmPDpx/B/nncx488c5ODJcPLLHuRdz/wWJw5MMBoO9LxNzEKIXEzF1bm/HnP9k+fw05tfxDO+\ntZ/nP3QP0cQkdfWiEk/jl7TSHLa2bNlCsVicFZTmErJo0S5henqa9773vX26Qumn+RavfwHYZ629\nyxizGXg/8JOmYwIaFTiyZMQR8eQk8eQkAw8/ytpCgWMGB4nWrOaDGy5h4tklDj6/QOXUKc478V4u\nWLuDFw1OsKZQyv1U0k2ax+M6ZQcP1Ffxj0+cyR2/+Q8MPzzIsXdHjP77Pp7x6F3E09Na6pNeafyS\nWVrNaonM17yClbU2W6/wdeAfgK8Ar808vgH46ZGfovSNc7h6HVevJ8uFux5n5OcFRosDhKUSDxxz\nAn/zrLey99QhOPsAW//gG5w29ASrfPuGsbhK2UEhgCJQDAIKBIRBQJFk25rsrNfeaJI7Ksfw7YOn\n8qNdz+PQg6sZeTBk5PGI4f11BvdNEz65n5MnfoOrVnG1OpFmp2SONH6JyEKaV7AyxtwMXGOtfQA4\nC9gJ3AF82hizGqj7+oSr8j9l6as4wlUiokoFDhxg4HcPsf5HRcIvjXLDhtfxsWeMML02+b/V4ERM\n4BzxQEBUDIgGA6IhiIYCohUw/XTHyhMPsnblFA/97niOu63Aml9PUNgzxvrx3aybfgRXq+OiKGnt\nkNnIWWS+NH6JyELq5a7AFwN/BzwHqBljLvB32dxkjJkCJoC3Wmun/bT6t/0U+ta0EFSWMecaPbLY\nu4+hu5OtbpLnfAzKzEoFYdB4LCiEBIODEAacXN1DXK7g4gg1Q5C8aPwSkcXWS/H6L/y/6prd3OLY\nr/gpdXmqcg6au6RnvnaZKSdXA8rlRTw5earR+CUii60/t3WJiIiILEMKViIiIiI5UbASERERyYmC\nlYiIiEhOFKxEREREcqJgJSIiIpITBSsRERGRnChYiYiIiOREwUpEREQkJwpWIiIiIjlRsBIRERHJ\niYKViIiISE4UrERERERyomAlIiIikhMFKxEREZGcKFiJiIiI5ETBSkRERCQnClYiIiIiOVGwEhER\nEcmJgpWIiIhIThSsRERERHKiYCUiIiKSEwUrERERkZwoWImIiIjkRMFKREREJCcKViIiIiI5UbAS\nERERyYmClYiIiEhOFKxEREREcqJgJSIiIpITBSsRERGRnChYiYiIiOREwUpEREQkJwpWIiIiIjlR\nsBIRERHJiYKViIiISE4UrERERERyomAlIiIikhMFKxEREZGcKFiJiIiI5GSgl4OMMR8BzvDHfwjY\nAXwBKAC/By6x1laMMRcDVwExcIO19saFvwQRkfY0fonIYuo6Y2WMORs4xVr7MuA84GPAB4BPWmvP\nAO4H3maMWQm8D9gInAVcbYxZuziXISJyOI1fIrLYelkK/CFwof/8ALDSDzxf9499ww9GpwE7rLVj\n1tpp4Dbg9AU8dxGRbjR+icii6roUaK2NgEn/5WXAN4FzrbUV/9huYD2wDtiT+db0cRGRvtD4JSKL\nracaK5Ip9fOBtwP/Bfht5qkAcP6/tHhcRKSvNH6JyGLp6a5AY8y5wHuAV1lrx4BJY8wK//QGXwC6\ny/+rj6bHRUT6RuOXiCymrjNWxphVwLXARmvtfv/wNuANwBf9f78F3AF82hizGqj7+oSrFv4SRERa\n0/glIoutl6XAi4BjAWuMSR+71A9C7wQeBj5nra0ZYzYD3/ZT6Fv9vw5FRPpF45eILKrAuf6UEWzf\nvt19+JWf6svvFpH+2HzrFZxzzjnN9UxLzvbt293GjRv7fRoisoi2bdvW0/ilzusiIiIiOVGwEhER\nEcmJgpWIiIhIThSsRERERHKiYCUiIiKSEwUrERERkZwoWImIiIjkRMFKREREJCcKViIiIiI5UbAS\nERERyYmClYiIiEhOFKxEREREcqJgJSIiIpITBSsRERGRnChYiYiIiOREwUpEREQkJwpWIiIiIjlR\nsBIRERHJiYKViIiISE4UrERERERyomAlIiIikhMFKxEREZGcKFiJiIiI5ETBSkRERCQnClYiIiIi\nOVGwEhEREcmJgpWIiIhIThSsRERERHKiYCUiIiKSEwUrERERkZwoWImIiIjkRMFKREREJCcKViIi\nIiI5UbASERERyYmClYiIiEhOFKxEREREcqJgJSIiIpITBSsRERGRnChYiYiIiOREwUpEREQkJwpW\nIiIiIjkZ6OUgY8xHgDP88R8CXg+8GNjnD7nWWnuLMeZi4CogBm6w1t64sKcvItKZxi8RWUxdg5Ux\n5mzgFGvty4wxxwB3At8F3m2t/dfMcSuB9wEvAarADmPMV621+xf8KkREWtD4JSKLrZelwB8CF/rP\nDwArgUKL404Ddlhrx6y108BtwOk5n6+IyFxo/BKRRdV1xspaGwGT/svLgG8CEbDJGHM1sBvYBKwD\n9mS+dTewfuFOXUSkM41fIrLYei5eN8acD7zdD0JfADZba18B3AW8HwiaviUAXP6nLCIyNxq/RGSx\n9Fq8fi7wHuA8a+0YsD3z9NeBfwC+Arw28/gG4Kf5n7KISO80fonIYuqleH0VcC2wMS3kNMbcDFxj\nrX0AOAvYCdwBfNoYsxqo+/qEqxblKkREWtD4JSKLrZcZq4uAYwFrjEkf+wxwkzFmCpgA3mqtnTbG\nbAa+7afQt/p/HYqI9IvGLxFZVIFz/Skj2L59u/vwKz/Vl98tIv2x+dYrOOecc5rrmZac7du3u40b\nN/b7NERkEW3btq2n8aunGquFsvnWK/r560VE5m3btm39PgUROQr1bcZKREREZLnRXoEiIiIiOVGw\nEhEREcmJgpWIiIhIThSsRERERHLSl7sCjTHXAS/1/WL+3Fq7ox/nMVfGmLOAfwHu8Q/9CviI3yKj\nAPweuMRaW+nzqbZkjDkF+BpwnbX2E8aYZ7Y6d2PMxb45YgzcYK29sd/nnmpxDZ8FXgzs84dca629\n5Wi+BpLr+Ahwhv8b/BCwYwm+F83X8Pql+F7Mlcav/lgO4xfLZAxbDuMXCziGLfqMlTHmTOBEa+3L\n/N5dH1/sczhCP7DWnuU//ifwAeCT1tozgPuBt/X7BFsxxqwErm/azuOwc/fHvQ/Y6LtSX22MWdvH\nU29ocw0A7868J7cczddAch1nA6f4v4HzgI8twfei1TWw1N6LudL41R/LYfximYxhy2H8YoHHsH4s\nBZ4DfJVk5/l7gTXGmKf14TzycpbfbwzgG/7FPxpVgFcDj2cea3XupwE7rLVj1tpp4Da/vcfRoNU1\ntHI0XwPAD4EL/ecHgJVL8L1odQ2FFscdzdcwHxq/+mM5jF8skzFsOYxfLOQY1o+lwHXALzJf7/GP\nHerDuczHC40xXwfWAluBlZmp893A+j6fX0vW2jpQz2zrQZtzX+ffE5oe77s21wCwyRhztT/XTUfz\nNZBcRwRM+i8vA74JnLvE3otW1xAttfdiHjR+9cFyGL9YJmPYchi/WOAxrB8zVs3t4ANfq7AU3OcH\no/OBS4F/AoqZ55fStdB0rum5L7X35wvAZmvtK4C7gPcvlWswxpzvl5M2LdX3oukalux7MQdL+Xo0\nfh2dluTfzXIYv1igMawfwWqXT4CpE4An+nAec2at3WWtvcla66y1v/PnvdoYs8IfssEX7i0Vky3O\nvfn9OaqvyVq73Vp7l//y68CpS+EajDHnAu8BXuU3+11y70XzNSzV92KONH4dPZbc30wrS/HvZjmM\nXyzgGNaPpcDv+H813WCM+SPgcWvteB/OY878nQHrrbUfNcasA44HPgO8Afii/++3+n2ec7Ctxbnf\nAXzaGLMaqPu15Kv6faLtGGNuBq6x1j7g1/l3Hu3XYIxZBVwLbLTW7vcPL6n3otU1LMX3Yh40fh09\nltTfTDtL7e9mOYxfLPAY1pe9Ao0xHwb+xN+6+KfW2l8u+knMgzFmFPhnYDUw6AfYO4HPA8PAw8Bb\nrbW1fp9rM2PMi4G/A54D1HwKvxj4bPO5G2MuAK7x053XW2u/1O/zp/01XA9sBqaACX8Nu4/WayC5\njsv9FPNvMw9fCnx6Cb0Xra7hM346fcm8F/Oh8WvxLYfxi2Uyhi2H8YsFHsO0CbOIiIhITtR5XURE\nRCQnClYiIiIiOVGwEhEREcmJgpWIiIhIThSsRERERHKiYCUiIiKSEwUrERERkZwoWImIiIjk5P8D\nC6mHoAdAOCkAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAEfCAYAAACDGogmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 720x720 with 2 Axes>"
       ]
      },
      "metadata": {
-      "bento_obj_id": "139884961214608"
+      "bento_obj_id": "140047483874384"
      },
      "output_type": "display_data"
     }
@@ -304,8 +308,8 @@
    "source": [
     "# Select the viewpoint using spherical angles  \n",
     "distance = 3   # distance from camera to the object\n",
-    "elevation = 40.0   # angle of elevation in degrees\n",
-    "azimuth = 10.0  # angle of azimuth rotation in degrees\n",
+    "elevation = 50.0   # angle of elevation in degrees\n",
+    "azimuth = 0.0  # No rotation so the camera is positioned on the +Z axis. \n",
     "\n",
     "# Get the position of the camera based on the spherical angles\n",
     "R, T = look_at_view_transform(distance, elevation, azimuth, device=device)\n",
@@ -340,7 +344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -362,7 +366,7 @@
     "        \n",
     "        # Create an optimizable parameter for the x, y, z position of the camera. \n",
     "        self.camera_position = nn.Parameter(\n",
-    "            torch.from_numpy(np.array([3.0,  6.9, -2.5], dtype=np.float32)).to(meshes.device))\n",
+    "            torch.from_numpy(np.array([3.0,  6.9, +2.5], dtype=np.float32)).to(meshes.device))\n",
     "\n",
     "    def forward(self):\n",
     "        \n",
@@ -393,10 +397,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "metadata": {
     "colab": {},
     "colab_type": "code",
+    "collapsed": true,
     "id": "srZPBU7_rQdz"
    },
    "outputs": [],
@@ -424,7 +429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 19,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -441,21 +446,21 @@
        "Text(0.5, 1.0, 'Reference silhouette')"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 19,
      "metadata": {
-      "bento_obj_id": "139883849498512"
+      "bento_obj_id": "140046464048336"
      },
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAEtCAYAAADKqC6AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSZIklcRgJUmSVBKDlSRJUkn+PxqJisCybWFlAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAEtCAYAAADKqC6AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkiSV5P8D4F92xJykcVkAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 720x720 with 2 Axes>"
       ]
      },
      "metadata": {
-      "bento_obj_id": "139884942059856"
+      "bento_obj_id": "140047413426192"
      },
      "output_type": "display_data"
     }
@@ -489,7 +494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 20,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -513,7 +518,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "79d7fc84b5564206ab64b2759474da04",
+       "model_id": "78b2d6baaf28479c8aebf3b35cd9cf74",
        "version_major": 2,
        "version_minor": 0
       },
@@ -521,9 +526,7 @@
        "HBox(children=(IntProgress(value=0, max=200), HTML(value='')))"
       ]
      },
-     "metadata": {
-      "tags": []
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
@@ -535,241 +538,241 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSnGKBKU4RYJSnCJBKU6RoP4PtK1qrRux1HYAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046487997712"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSnGKOKU4RZxSnCJO/T+EYu27z/EzsAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046488867728"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046463357264"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nH21MNb2uWcwlAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBOr/AHYKWRdVX+yiAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046463617296"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/wa/VcDDrS9dAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046462817104"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nClEDPAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nA9Dty2EIq8KlAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046462421328"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAcMklEQVR4nO2daZAc5XnH/8/OtTOzp6TVLgghCYQc\nmUMklSoZsAMUp4gpV4kPGInCEJsYU46PcjBfqOygAjkmie3KYcpQTkGMjKFcElSFGBMSlESQBFwY\nHJtDASKEhJAsaQ/t7M70HG8+9Lytd3q7e2alnd13Nf9fVdcc3dPXzK+f5z36HVFKgRBiHx3zvQOE\nkGAoJyGWQjkJsRTKSYilUE5CLIVyEmIpp5ScIvIbEblsvvdjNhCRnSLyhfneDzJ/nFJyKqXOVUrt\nBAARyYnIY63epoicJSL/KCLHROSwiDxgzFskIjtEJC8i74vIplbvz2wgIp8VkbdFZExEDonIoyLS\nY8zfKSIFEZmoTW8b8y4Xkf8RkVEROVI7/mXG/GUi8rSIHBWRfSJyR5P79PciokRkde11SkR+WDuv\nx0TkNRHZMJvnYb45peScTUQk3sQySQD/DOBfAQwBOAOAeUH4OwAOgEEAmwE8KCLnzv7ezjovArhE\nKdUL4CwAcQD3+Zb5slKqqzZ9zHj/DQDXKKX6AJwO4H8BPGjMfwzA/8E9J38IYKuIXB61MyLySQBn\n+96OA/gAwKUAegHcA+BJEVnZ7EFaj1LqlJkA7AFwJYBr4UpRAjAB4PXa/F4APwRwAMB+uD+4WG3e\nrXB/lN8FcATAfU1s748B/EfIvGxtH9YY7/0IwJ83eSw7AXyh9rwD7o/vfQCHAPwDgN7avE64P/gj\nAEYBvAJg0Dim9wAcgyvE5hM4p1217f1T0L41+GwKwLcAvGGsSwEYMJZ5CMCPItYRB/BLABfUPrs6\nYtlfAbhhvn+HszWdkpFTKfUsgK0AnlDulX1dbdYjAMoAVgP4XQBXAzDLdevh/pgHAdwvImfW0rMz\nQzb1CQB7RORntZR2p4icX5u3BkBZKbXbWP51ACcSOW+tTZfDjWRdAP62Nu9zcC86ywEsBnAHgCkR\nyQL4awAblFLdAC4G8BoANHFcEJFPisgYXLFvAPA93yLfqh3zi/5yvl4/gCkAfwpAp/rie9TPz4s4\n9q8D+Hel1K8iloGIDMI957+JWm5BMd9Xh9mcUIuctec5AI8Z8wYBFAGkjfduAvBC7fmtAPbOcHvP\nwY3OGwAkAdwFV+4kgE8B+Mi3/O0Adja57p04Hjn/BcCdxryP1bYbB/BHAF4CcIHv81m4kfQG85hP\n4Jwuq51LMwNYD6AbbmT8HFyBzw747CIAdwP4hPHeLgB/Azfi/x6AowDeDtn2cgDv4HiWEBg5ASQA\nPA/gB/P9G5zN6ZSMnCGsgPslHqhFjVEAPwCw1FjmgxmucwrALqXUz5RSDoC/hBu91sJNp3t8y/fA\n/SHPlNPhprSa9+GKOQg3Vf45gJ+IyIci8oCIJJRSeQA3wo2kB0TkGRH5nZluWCm1H8CzAH5ivPff\nSqljSqmiUupRuMWB6wI+exTAowCeNsrwmwGsgnuuH4Sbku8L2fz3AGxRSo2F7Z+IdMA9Bw6AL8/w\n8KzmVJbTf7vNB3Aj5xKlVF9t6lFKnRvxmUb8KuIzuwHEReQc4711OLG060O4FxfNmXDT84NKqZJS\n6l6l1Mfhpq6fBnALACilfq6UugrAaQDeAvDwCWwbcC8E/goZE4X6VNX/2aWoXaiUUu8rpT6tlBpQ\nSq0HsATAyyGfvQLAX4jIRyLyUe29/9S13iIicOsQBuGWNUszOSjbOZXlPAhgZe3KCqXUAbhp6F+J\nSI+IdIjI2SJy6Uls4zEAnxCRK0UkBuBrAA4DeLMWubYD2CIiWRG5BMBn4F7lISIra00DK5vYzuMA\nvi4iq0SkC8fL0+Va08X5te2Pw013qyIyKCKfqZU9i3AjebWZgxKRzbo8KiIrANwPN7WGiPSJyDUi\n0ikicRHZDOAP4EZXiMhGEflY7fwOAPgOgF/WoihEZK2IdItIUkRuhlvu/07IrqyBe0G7sDYBwPUA\ndtSePwg3S7leKTXVzLEtKOY7r57NCfVlzsVwyzcjAF6tvdcL9wvdB2AMbi3gZ2vzboWboprrOxPu\nj/rMiG1uhFsuGodbTjzXmLcIwFMA8gD2AthkzPtUbX8TIevdifra2j+DG/1/C/ei0F+bdxOAt2vb\nOAi3EigON1r+W+04R2vr+3gzxwVXxn21de6DW6O6uDZvAG6N8LHaev8LwFXGZ/8Ebs1wHsBHcNPh\nFcb8r9WOIV/7fn7ft+0JAJ8K2S+vzAk3k1AACrXP6GnGNdK2TlI7UDLHiMg9AH6rlPrBfO8LsRPK\nSYilnMplTkIWNJSTEEuhnIRYSmTnbhFhgZSQFqOUCmwjZuQkxFIoJyGWQjkJsRTKSYilUE5CLIVy\nEmIplJMQS6GchFgK5STEUignIZZCOQmxFMpJiKVQTkIshXISYimUkxBLoZyEWArlJMRSKCchlkI5\nCbEUykmIpVBOQiyFchJiKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYilUE5CLIVyEmIplJMQS6Gc\nhFgK5STEUignIZZCOQmxFMpJiKVQTkIshXISYimUkxBLoZyEWArlJMRSKCchlkI5CbEUykmIpVBO\nQiyFchJiKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYilUE5CLIVyEmIplJMQS6GchFgK5STEUign\nIZZCOQmxFMpJiKVQTkIshXISYinx+d4BcvIMDw9DRNDZ2YlMJoOpqSlMTU0hl8vN966Rk0CUUuEz\nRcJnkjknl8vhtNNOw9lnn41UKgURgVIKlUrFm8rlMkQEHR3Hk6JyuYypqSnk83kcPHgQ3/zmN+fx\nKIgfpZQEvU85FwBbt27FmjVrsGzZMkxNTaFYLHoyVqtVVCoVKKWglEK1WvWeB323nZ2dKJVKOHjw\nIL761a/Ow9EQP5RzAZHL5bBhwwZMTk6iWCxCRPDuu+9iYmICjuOgXC4DAJRSEBHEYjGIiDf5qVar\nKJVK6O7uRiKRQDqdRqlU8iJsZ2cnCoUC7rjjjrk+VALKuSAYHh7GRRddhMWLF8NxHLz66qtwHAfF\nYhGlUsmLhLFYDB0dHZ5c+nmYnOZ3rJRCPB5HLBZDPB5HPB5HPp9HT08PstksDh06hK985StzdsyE\nclpNLpfDunXrsHz5chQKBfT09ODZZ59FPp8HAE+4RCLhyRgULU0x/aLq79lMeSuVCpLJpCdoPB5H\nT08PkskkDh48iLvuumuuTkFbQzktZcuWLdiwYQMKhQKWL1+OZ555BoVCAePj455gsVgMsVgMiURi\nmojNytlI1FQqhXg8jkOHDiGVSqGvrw8igs9//vMtPwftTpicbEqZZ6677jqcccYZ2L59O1555RVM\nTU3BcRxPSp2CmqkrcOJy+tNeLefk5CTS6TSWLFmCeDyO/fv3o7e3t6XHTqJh5JxHvv/972Pjxo14\n8sknkc/nUSwWvXk63dRNImEprH7v6NGjXkTU8wYGBrz1BX3OxJS0u7sbsVgMH3zwAVauXInbbrut\nFYdPajCttYTh4WGsW7cOQ0NDWLRoEX760596ta8igng87pUt/QKaQo2OjgJwy6FmdDWneNxNjMbH\nx9Hd3R0qaJCo1WoVsVgM+/btQyKRwBlnnIFbb721dSemjaGcFjA8PIz+/n6sX78er7/+OiYnJzE+\nPg4Ankw6WoalqwAwNjYGwBVTl0X9Yupyqn5dKBQaViCZjzqSdnR0YO/evRARrFixAo7j4Itf/GJr\nT1SbESYn+9bOISKC9evX47XXXsPExESdmIlEoi5iRjWNAG7aqwU0Jy24WV6NxWJYtGhRYJk0bNKC\nK6WwYsUKAMC+ffuQTqdbf6IIAMo5ZwwPD+P8889HPp/H1NQUJiYmvMikU9OoaKnRUVPLY0bJqCmV\nSnmC+rcTNZmCVioVFAoFPProo3Nz0tocyjlH9PX1YWhoCG+++SYKhYL3vpYnSIwoTDGD0tig9DaT\nyTSUEUBd9NQTAKxcuRL79+9HLBZr3YkiHixzzgG5XA7r16/HW2+95UU+wBUsnU4HiqExv59qtYpj\nx44BADKZDDo7O70yZ1iFUEdHB9LpNLq6uiAieOeddxqWO83nZsWU7su7Z88enHPOOdi8efNsn6q2\nhGXOeeadd97B5OSk99rfyweYLqZ+T6OUQjab9Xr3mB0UgqKlTmez2SxSqRTefffdad39/NttlOLG\nYjGsWrXKqwkmrYNythh9r6XuXKAxJQGmS2ESlOLqO1HMdZlpro6YPT09yGQydRI3Sm3D2lLNdSil\n8MQTT7TknBEXXv5aSC6Xg1IKAwMDGB0drfuxm2W5KCGDih3pdBrlchnlchmpVMqrmdUCxeNxJJNJ\n9PT0IJVKoaOjA2+99VbdPZ5RNKrVBQDHcZDJZGZ+UkjTMHK2EH1L1+mnnz4takZVxESVA/VrfRsY\nAKRSKSSTSWSzWXR1daG7uxtdXV1IJpMAgPfeey+wG2AzlUL+93X0HB0dRSwWY/RsIZSzReRyOe8H\nbfZR9deChpU3G7VBJhIJOI6DAwcOQCkV2M45MTGBQ4cOeV0Bw1Jbk7D02tzvWCyGo0ePAgDi8Ti2\nbdvWsvPYzrC2tgWYY/csXboUlUoFR44cAQBPHn8kA8LbNjXm6Ab6MR6PI5vNelMmk0EqlYJSClNT\nUyiXyyiVSiiXy15tqx4twVyPn6AU3JR6YmICIoLe3l4Ui0UUCoWW1t7qc9rX14cVK1agv78fgJte\n6+PSx1osFhdUTTLvSmmA/vL9tZ9hFSQm/puZAWBiYgKAm36aKW2jZowoQc155r4lEgkA7lhBhUIB\n5XIZHR0dnojmfpnb12l31LaC0l19fvTdM/pi0ypyuRwSiQT6+/uxdu1adHZ2esOz6BrvarXqXUh0\nun3jjTe2bJ/mgraWU9ekAsc7kPvbChvJBITLqZs8tCDm58KaMfzrDtqeKYxu4xQRr8O6ltMc9KvR\n+s1jCCt3mucjHo97PZy0nNu2bZvViGVmIH19fchkMkgkEiiVSqhUKt5+m1OxWEQ+n0e5XMb27dux\ncePGWdufuaZt5TTFTKVS0+TUP0ageYH0D/zDDz/0ltF3dwR9NqgCRhMWVc3l9H7q7epooqOIfh2G\n+dmgsqd/m/5yp55vCjob+If0TCQSXuXWL37xC6xZs6buQjE2NoZ9+/Z56bqIYGBgYEGLCbSpnPrL\nFxEkk0mvwkQ3R/i7rUXJGVVmB1xhzB9toyjcKOUNimI6Quv9Md/XhI3G5z+OsAuIf7sAvIuZvgDN\nRrc+v5idnZ3elEgksGzZMoyNjcFxHDiOg0KhgLGxMZTLZe/Yh4aGcMstt5z0vsw3bSmn/hL1nSBB\n90SeTOQ0y3K6JlUTFiGjtuFfJqi2VQtqyhm1j2FSRm3X3L5SyruLxkxvTwZTzFgs5kmph1DR35W+\nN9Xcpr7AVioVXHzxxSe1H7bQlnLqTuDJZNJLmfQtWOYPv9kKIT/mfMdxIm+zapTihgnij2L+cYGC\n5IyKnEGvRaTugmX2QPr1r3+Niy66qO7Ck0gk8PDDD+P222+PPD8mw8PD0/axv78fqVTKm5LJpNfL\nyUypK5UKLr/88qa3tdBoWznT6XRd1NSR0yzPAcG9d8z16GU0/mWLxaInp1+OZqOWuR9RUTFoGzMh\naJv+CjLzghB0N01PT09T2wr7q4iOjg6vQ4UWU0dNLWW5XMY111xzwse5UGhLOXWXNn1Xh/6xHTly\nBHfeeecJr9esZDIZGxtDLBbzak+D0r9GaW0zqWoYjSJ91DaDOtRXq1Wcd955dWX0arXqdY4IIkxG\nf3NOMpn0pOzs7KwbS6lUKuHaa69teCynCm0rpy7HVKtVLFq0CNlsFr29vXjkkUdOeKycIAlE3Ab7\nVCqFycnJyGaVoPeChGwkqpnq6oqhKEEblYP1pNPKUqmE3t7eusxBCxqPx2f0B0r+srmWU38/+oIw\nMjKCG264oen1ngq0Zfc9pRTS6TQymQwGBwexePFixONxpNNpLF26FDt27JjxOqN+kOVy2YsAui0y\nTDj93Hw054eJFHSMUa+DPu8vz/rvDdWjIujBqP0VU3rZ3t5edHV1IZ1OI5lMNhW59e1tuhLI7Eml\nlGo7MYE2lVPLobu76aaARCKBzs5OpNNpPP3003jooYdmvO6gLnbA8bY6f5OG//VMK59OhqjKKH8n\nDB01K5UKXn755bphVfzTqlWr6ipzdMWbWYTwH7P+DxddF6A/BwBXXHFFy86BzbRt39r77rsPq1ev\nxpIlS5DNZr3KBt1wr2/JKpVKOHbsGA4fPowvfelLoetrlMr19PRgYGAABw4cgOM43g/WHDlPSwFM\nr2zyR82g51FlVk2jmmB/xDQrzBzHweTkJOLxOPr6+rxGf91NsFKpwHEclEoljIyMeOfQcZy6Zcz+\nvUopJJNJdHV1eRfL/v5+dHR04NJLL23y21zYsG+tj3vuuQff/va3vcqZbDY7rTLDLEulUils374d\nIyMjGB0dxTe+8Q1vuSgxdXlvcnISo6Oj3rAkuoudf5u6zVBvP+qx0Tb9NJLWX/mjI5pOZ8vlMorF\noneXjS7PmuvQk3nRMQXWFWNmem9GWV1JZ/ZHblfaMq3V3H333XjjjTdw9OhRTE5OemKYt14lEom6\nstDAwABWrVqFbdu24YEHHqhbX1Q7Yrlc9v4sSKduYVlLM2luowqjoM9HRU2zPdNsT9QXL8dxMDIy\ngqVLl9ZdUMJSW7PTgJ7MdmVdhMhms0in0945TiaTqFQquPLKK8O/uDahbdNak+HhYaxduxbLly+v\n6/Wir/a6o7XuVK5vvyoWi3AcB7t3755WQ+pH10ZmMhnvNqtisRjY+UFHsbBUNkrQqLQ37Ll/eBN/\nSlssFvHRRx8Fnh//o/7/0EKh4DUdmWmtOeka2Xg87o11lEwmcdlll7Xom7YTprUR3HvvvQCAp556\nCn19fUin03XlQC2ceVuSfh7WrueXVH/ecRzk83l0d3cDQN29leayJyumf11B75vlXJ3GmrWzupy5\nd+9enHXWWXUdAfzNNP5b0swOCn4pdVlTp7BmNtHsUCrtACNnCI8//jh6e3u9/6vUPygdQXUZrFqt\nYteuXd7ngkQzUUrVlbF0GSwopQwScyZyhqWcpoj60T9KvIh4f2+vK8xMCf1/b69fB93YXS6XA89D\nPB73OrTrcng71swycs6Qm266CQDw4x//GMuWLfPa67Q8ujOBeZsSML2SJKjCRFcGAUBXVxccxwm9\noyNMMP/8sOdBqbK/mUSnsGYPoEKhgJGRESxbtqzuQmFu1zxGM4rqMqdZ6ROU6uuyJ4C2FTMK5hAN\n2LRpE1544QXs378f4+Pj3o3LzdzD6P9RmpHGbGbQ0cNM6cKkjJLNP/n/ksEfnfUxmPeylkol7N69\nG+VyGUNDQ4FiBh2n/7W/Yi3sP10AihkG09oZsnXrVpx77rlemxwAPPfcc9PKmP6ymMYUS98do2sz\ndZOFmdaGVRKZ6worn/orlcyo5pcUAJ5//nlceOGFWLx4cd0o8ib+u1/8qa1OafW+6Pf1c3/n+XK5\njKuuumpWv6OFRlhaSzlPgh07diCbzeLFF18MLFP5ZQWmtyead13oCKZrds3IqB/1OkwZzR97mMzm\ndv1/GaiUwp49ezA4OIhMJjOt94//uPRjM3Ka58Jcn6oNKdJOHdnDoJwtpJlOCPp5UJ9Vf08cHTVL\npRLS6XRTlURhaW+Q4LqNVSmFl156CatXr8bg4GDdtv2VS/5j8ndTNCt/zM79YZ8tl8sUswblbDF6\ndPdG5bOgJgu/RLoTuL/tUf/wJyYmcPjwYVxwwQV16WmQnJpdu3ahu7sby5cvx5IlS6aNYRuUMpuP\nJn4x/bW1lUoFU1NTdeuoVCqYmJjwKtrIcVhbO4eE3aoVFPVMzPfMgbn0ulKpFETcDvtDQ0N1fYB1\nlziz0sUcTPqSSy6ByPG/awjq5GDue9SxBeEvX4+NjXmdEG677bYZnD2ioZyzSFS0ifpMVPnOlNTf\n0K8F09L6I2CjYVeCugn6aSYbCPrMQhrU2VYo5ywR1lPGJKxsGLSM+Ro4freMv7klTL5GlTnmuqOO\nx/+8mfMQVeYkzcN2zllCdwHURJXl/QTJFCapXndQ7xx/9zj/1IioZYLWEbS8roUlJw/lnGWCItZM\nlo2SMujzmkbyzTQ1nSnmReD6669v6bbaBco5i5hNKjrF9ae5UVEyLHL650fVqp6ohEFdDpuNtubE\nnj6zB+VsITOJomGfCYqsraQZMf0p7kxkJs3DCqFTgFYKa0b+oDKnv72TzB6MnC3gRCqDGi1zsoRV\nDPkFC3r0Pw9at/l3g2R2oJwtIKgd0aaoEiTqTPYvrLZY37FDZgfKOcsEVQo1wjZxgx71c/9rU8x2\nv7tktqGcLUALanZMmEl740yIioCNthnUgT3sMSha6o7uhUKBtbQtgHK2iFwuN63pY6ZluahlojoE\nhC0fdZFoRkxzWVPOq6++uuExkJlDOVuI/1ayoCgVxInOO5HlzGWbjZj6ealU4hCWLYRyzjFhgjaK\naM2uu9nPNpvSBi2vIyZT2dZCOVuMWf7Uj822D4ZVxsy00qZRSuvfXlTkNKMmaS2Ucw4w01vz/0L0\nPZjNTJpGKai5XLNTUGd5c5xZfV9mqVRCsVhEoVBgOXMOoJxzxL333guljtfeRt09EpbeNltZExUd\nw5aLEtf8c6discgmkzmCcs4h5m1lQf+2FSWMpplIGfReVCQOi6KmlKVSCePj47juuutadn5IPRxD\naJ7Qqa7+SwL/eEF6eBH/2EJBN1f7R3A35wcNRxI2xKYfpZQ3BAoH42odKmQMIUbOeULLqctz5t88\nRJUFG1UMNYqM5nv+m7TN13qf8vk8xZwnGDnnmS1btkwbDV3/y3bQCO5BQ12GDUAdNmyJf5xbE1Pg\narVKMeeAsMhJOS1ieHjY+/9KPTRm2N8oNJvWNhq3yJRR/12f4zjYtGnTfJ2GtoNyLiByuRy6u7un\n/c9J0H9oikjdCO1mVIz6+wbze69Wq8jn8xRynqCcC5D777+/7k+Oggag1u/r18D0oTPN9/RzXdnj\nOA6HsZxnKOcCZuvWrXWjwIdF1EYpLHC8Bvbmm2+ep6MhfijnKch3v/vdOmmDRNTf7+233z4fu0ia\ngHISYils5yRkgUE5CbEUykmIpVBOQiyFchJiKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYilUE5C\nLIVyEmIplJMQS6GchFgK5STEUignIZZCOQmxFMpJiKVQTkIshXISYimUkxBLoZyEWArlJMRSKCch\nlkI5CbEUykmIpVBOQiyFchJiKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYilUE5CLIVyEmIplJMQ\nS6GchFgK5STEUignIZZCOQmxFMpJiKVQTkIshXISYimUkxBLoZyEWArlJMRSKCchlkI5CbEUykmI\npVBOQiyFchJiKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYilUE5CLIVyEmIplJMQS6GchFgK5STE\nUignIZZCOQmxFMpJiKVQTkIshXISYimUkxBLoZyEWArlJMRSKCchlkI5CbEUykmIpVBOQiyFchJi\nKZSTEEuhnIRYCuUkxFIoJyGWQjkJsRTKSYiliFJqvveBEBIAIychlkI5CbEUykmIpVBOQiyFchJi\nKZSTEEv5f5tSHDOzyDx2AAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOAnxFIqTEE+hOAnxFIqTEE/5f2/1FXcXOyHzAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046449306128"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAeL0lEQVR4nO2de5AkR53fv7+efk3Pe7TMzmpfSLIE\nHBJ7GMcKn2XfoVcIAiSMECxaLIQ5woeksE6Eww4T+LYXr+2L42yDechCcGC4W4QRFoiHkSMI47Mk\nIk4nmTOxgBUrVrsaabUvzc67H9Wd/qM6S9k5Wd3VPT0zuTPfT0RFdVdVZ2VV17d+v/zlL6tEKQVC\niH+k1rsChBA3FCchnkJxEuIpFCchnkJxEuIpFCchnrKhxCkiR0Tk99a7Hr1ARH4qIr+/3vUg68eG\nEqdS6o1KqZ8CgIgUReTPV3N/IvKfRWTemMoiMmesHxeRR0RkQUSOi8jtq1mfXiEiHxKRp0VkVkSm\nRORPRCRtrL9HRP66cbxfs3673zoniyKiROQtxjZ/W0T+srH+lIjcm6BOf9Qo53pjWU5E/qxRz5dF\n5OM9OgVesKHE2UvMizEOpdQfKKUG9QTgmwC+bWzyBQAVAFsB7Adwv4i8cVUq3FsKAP4QwBYAVwO4\nDsA/M9a/BOAQgD+zf6iU+gvrnNwF4DcAngEAEdkC4McAHgBwEYC/BeB/tKqMiFwG4DYAJ61VRQCX\nA9gN4G0A/rmI3NTJgXqNUmrDTACeB3A9gJsQiqIKYB7A3zTWjwD4CsI/+UWEF1hfY92dAJ4A8B8B\nnANwqMN9DwCYA/C7xvcKgCuMbb4B4I8TlvdTAL/f+JwC8EkAxwGcBvB1ACONdXkAf96o83kATwHY\nahzTbxr1OgZgf5fn9eMAvu9YfgjA19r89n8COGB8/7cAvtHh/n8M4B36/zWWvwTgRuP7vwbw0Hpf\nh72aNqTlVEr9GOFF8C0V3sH3NFZ9DUCA8G79ZgA3AjDbdVcjvJi3Avg3IrJLRM6LyK4Eu70VwBkA\nf9n4fgWAQCn1rLHN3wDoxnLe2ZjeBuBSAIMAPt9Y9yGEN52dCC3RHwBYEpEBAP8JwNuVUkMAfgfA\nzwGgw+MCgH8A4EinlRaR3Y3fft1Y/FYAr4jIkyJyWkS+36oeInIbgLJS6kfW8jEA2xCeU02359dL\nNqQ4XYjIVoR33z9USi0opU4jtJL7jM1eUkp9TikVKKWWlFInlFKjSqkTCXbxIQBfV41bOEIBzVrb\nzAAY6qL6+wH8B6XUb5RS8wD+JYB9Dde7ioZ7qJSqKaWeVkrp/dYBXCki/Uqpk0qpIwDQyXGJyD8G\n8HcA/GkX9b4DwP9WSh0zlu1AeK7uBbALoUX/Zsy+hxDeZF1t0sHGfMZY1u359ZJNI06E7ZIMgJMN\nq3EeYbtnwtjmhW4Kbtz5fw/NFmIewLC16TBCF7NTLkbo0mqOA0gjtPDfAPAYgIdE5KVG8CajlFoA\n8H6ElvSkiPxQRF7fyU5F5N0A/h1C63u2i3rfAeC/WMuWADyilHpKKVUCcBDA74jIiOP3RYQu8POO\ndfONuXmOuz2/XrKRxWkPt3kBQBnAlobVGFVKDSul3tjiN0n5RwCeUEr9xlj2LIC0iFxuLNuDLtxD\nhG2r3cb3XQjd81NKqapS6qBS6rcQuq7vRCgKKKUeU0rdgND9+zWAB5PusBFYeRDAu5RSv+i0wiLy\n9xDeVB62Vv1fNJ/nVuf8OgD/tBGJfRmh6/5fReRfKKWmEcYO9hjbd3t+vWQji/MUgNeKSAoAlFIn\nEUYF/72IDItISkQuE5Hf7cG+7kDYno1oWK7/BuBTIjLQuFhvQWjpICKvbXQNvDZB+d8EcJ+IXCIi\ng3i1PR2IyNtE5CoR6UPoRlcB1EVkq4jc0mh7lhFamnqSgxGRawH8BYBblVJ/5VifFpE8gD4AfSKS\nd0S3PwTgO0op25J9FcA/FJHfFpEMgH8F4HGl1AyWcx2AKwH8dmN6CcA/QRgFB0JP5ZMiMtbwCj4K\n63+4oFnviFQvJxjRPITtsMcBTAN4prFsBMD9AKYQtk/+D4B9jXV3IrxIzPJ2Ibyod7XY598FsABg\nyLFuHMB3G+tPALjdWPf3G/XNxJT7UzRHa/8IofU/gzA6O9ZY9wEA/6+xj1MIg0BphNbyfzWO83yj\nvN9KclwII6xBYxs9/XdjfRGhxTOnorE+39jndTHlfwxhtHwawPcB7DTWHUFMVBnLo7U5hN05s41j\n//h6X4O9nKRxkGSNEZFPAjijlHpgvetC/ITiJMRTNnKbk5ALGoqTEE+hOAnxlJbJ3SLCBikhq4xS\nSlzLaTkJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBP\noTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ\n8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSK\nkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBP\noTgJ8RSKkxBPoTgJ8RSKkxBPSa93BUhnHDhwABdffDEmJiYwNjaGvr6+aJ1Sqmmq1WpYXFzEzMwM\nzp49i/vuu28da046RZRS8StF4leSNeHLX/4ytm3bFgmxVqshCAJUq1UEQQClFOr1Our1+jJx6v82\nlUqhr68PIgIRgVIKpVIJU1NTuPfee9f5CIlSSlzLKU5PeeKJJ5DNZlGtVlGpVFCv11GtVlGr1SIx\nAqG1PHLkCFKpVDSJCFKpFLZt2xaJ1kUul0NfXx/6+vpw8803r+XhEQOK8wLgq1/9Kl73utchm81i\nYWEBqVQKlUoFtVotsoTHjh1DEAQ4e/YsMpkM+vr6kE6nlwnTtJYvv/wyJiYmkE6nkc1mmwSrrWmh\nUEBfXx8WFxdxxx13rPOZ2FxQnB7zwx/+EFu3bo1c1aGhIQRBAAD42c9+hnPnzkEpFYmwWq0im82i\nr68PqVSqSZymSLU4U6kUlFI4f/585AYPDAwgnU5HFhgIhZpOp5HP5yEi2L9//3qdkk0FxekZX/nK\nV/CmN70JIoKdO3diYWEBP/rRj3D27FkopZDJZJBOpyOBAcD8/DwAYGBgIBJmKpVCJpNxurVmOzOV\nSqG/vx/lchlnz56N6qEtcr1ejyzx7OwsgLCtOjIygmw2S2u6ilCcnvDpT38a11xzDUQE1WoV27dv\nxw9+8AMsLS1haWkpsoTZbBYAImGKCGZmZiAiGBgYQDabjQRoW05bnLrM/v5+1Ot1nDhxoqlsoFmk\nWvDnzp2DiCCbzWJwcBAigo9+9KNrf9I2OBSnB3zuc5/D3r17sbi4iJGREQwODuJ73/seFhYWIpfS\ntpba8gHAzMwMlFIYHBxEf39/rFvrEufAwADy+TyCIMBzzz23rG56H2akV0Rw5swZKKWQSqUwOjqK\nwcFBfPjDH167k7YJoDjXmQcffBBXXXUVFhcXMTAwgKeffhpLS0uYm5uLRJlOh93OWpCmZdOcP38e\n+XweQ0NDiQJCmUwG/f39yOfzSKVS+MUvfrGsbNd+AEQCTaVSeOGFFyAiGBwcxJYtW3DnnXeuynna\njMSJk0kIa8SVV16J+fl55PN5PPnkk1hcXIwCO5lMpkkwccI019VqtSgolE6nm9qWWpiDg4PI5XLR\ndvV6fZnw7f3Y33W3zc6dOzE1NYX5+XmUy+VVOEPEhpZzDfj2t7+N4eFhHDt2DAsLC5ibmwOAKEiT\nSoVZlHGCManX6yiVShgaGkJ/fz+y2WzUDaInbYULhUJkVev1Op555pmW4my133K5HLVzT5w4gYmJ\nCeRyOXzkIx9Z8fnZ7NCtXQcOHjyIa6+9FjMzM/jVr36FhYUFAIjE47KYLsx0PPNzEAQYGxvD5OQk\n8vl8FOHVggyCAAsLC3jppZeabgBJraarPnr/J06cQCqVwmWXXcYulxVCca4xxWIRV155JQYGBnDs\n2DGcPn0aACLLprs/4sRi/i+2OIMgQKVSidaPj4+jUCggm81G4qzVapicnMTx48ejvsxWrnKr5fb6\nIAggInj++ecxOTmJoaEhfPCDH+z0FJEGbHOuMUNDQ9iyZQt+/etfRxZTtwV1lLVV4MeMnprLdHeH\nuU63AavVKjKZDHK5HIaGhqLIbhAEUR6umXPbDtvl1d+z2SyCIMAll1yC559/HoVCodPTQxLAIWOr\nQLFYxBve8AbMzs6iXC5jaWkpytjRk22VTKG6gkPmpC2vLqu/vx9DQ0MYHx/HxMQEJicncdFFFyGb\nzUaRWm1VzTrYN4gkkxkVBhClFD700EPrc7I3MBTnKrBt2zak02lMTU1haWkJ9Xo9kShsXKLQ/Zr5\nfB6FQgEjIyMYHR3FyMgIhoaGMDw8HAWLKpVKJEg748gltlaTXS/drr3kkksAALVaDd/61rfW5Pxu\nFujW9pgDBw5geHg4spqlUgkAmtLt4voZzbnL9dTiVko1JSCYZdfrdVQqFZTL5aZ+SrMPFEBiF9eu\np/59JpNpqmupVMLIyEi3p4042JTiPHjwoDOrRicBtEJfzLrtp8dW1mq1aJuRkREcOXIECwsLTUJq\nZaVstAjsZbbF0+JUSkUjWPR2Ooik+ypbiTNOpK52p9mXGgQBLr/8chw9ehTj4+Ntzx9JzqYSZ7FY\nBIAoT9SVVQO07u8zL2b74j537hxyuVzTctsljetnbNWNkaTtp28OOtVOfzYHYSft07RpVRctUF2H\nw4cP4/bbb09cNoln04izWCyir68PuVyuaRSHvtBNq9JKKHYXhz3P5XLLMmhc1tIs1yVQ17q4csz+\nT/M4bFxurLawcdHhdvXRnsFll10WJSqQ3rApxFksFqORHnqyRWlf1HFWppU4RQT5fB6nTp1q2n8r\nUbZqf7ba3hU11SNK4vo1W7mu5jHY6zQu66/7bYMgiFIRSW/Y8OIsFovIZDJNwtRpaC6BAvEXqG15\nXJaoXC4jl8u1dSHbWc924oxzS9sFeFz9pvYxxtXddXMAwpTCo0eP4s1vfjPS6TQeeugh7Nu3r2U9\nVoNisYjh4WFMTExgy5YtUZu7VquhWq2iWq3i2WefxYEDB9a8bt2w4TOEDh06hLGxsabUNpd4XG6t\nSygmpuX8+c9/Hi3fvXs3zp49GyUfZLPZaFRIXFdK3P5cn13tzyTt2HbECVPP7e4cbaWr1SpeeeUV\nXHzxxVFgam5ubtXT+orFIvr7+6OnOhQKBVx66aXLUh11QExHsk2x5nI5vPe9713VerZj02YI6YdY\naXGISJQxo/9A7QaaEU0tInNIli0ElzsMAAsLC9GNoFqtRhd9uzZcu3mc1eykOyTJdnE3Lnuu25xK\nqSj5vlarRf2qq4m2ftlsNoojiAgef/xx7N271xm4U0pheno6Gj8LAKOjo6taz5Ww4cVpdmMAQKVS\nwfj4OG655ZYVl/3Zz34WmUwmypsFEFkO7UrrSKaLbgRq/9bEtnztlrvq4qpbXPBMu8VKqejmp29w\nqxUY0hF3ILzx9vf3R8Pi0uk0rrjiCszOzuLMmTPYuXMnRARzc3M4efIkZmdnoxTHyclJbN26Fe98\n5ztXpZ69YMO7tQ888AAGBgaidDeRcMDw3NxcT9yZYrG47OLP5/PYuXMnTp06FT1Fr1AoOJ9WEDda\npF3wKM7dtX+jaSXOVtu7uoH0Y0yAsI196tQp7Ny5E5lMJurzDYIAc3Nz+MAHPtDVeXVhClOnJepn\nHOlglDlw3TX4PJVKYX5+Htddd13P6rVSNq1bGwRBFKnVw6r0OMpeYV/41WoV586di3JgW1lP/ftW\nAomzanG4LGWc9WwnaJfV1Bd5rVbDU089hb179zYNf9NTL11bfRPUucT5fB75fD5yafVk30i0JxME\nAcrlck88prViw4tT/0n9/f3o7++PhlPl83k8+uijK36Ysuuir9VqWFhYwOjoKDKZTBQxdEWEkwSE\n7GXd1s387mpXmt/13LY+2gKJCOr1Ovbs2RO1NwE0uba9bnfqoI9O5Dfbm3besinK+fl5vO997+tp\nXdaCDe/WFotFXHrppRgfH8fIyEh0wWjXa2lpCYuLi3jPe97TVdmt0E8pGBoaiiypnrQgzER0oH2f\nqL2sk7ldTty2pvUxL3hTAD/5yU9wzTXXRE9y0G1PM9imrVU351ajz3Eul8PAwAAKhUL09EHdrtd1\nAhClVL797W/vep9rTZxbu+FHpRSLRUxPT6NcLkfupTmuUgcVDh8+3HHZrfo8dTi/UqmgVCo1BUhc\n0VugvXBcyzqZx4nUbEuaAjQ/m08GBIC3vOUtyOfzy24uZnkrtZ7mzU+7rTrwY7Yz9c2hUqnghhtu\nuKCE2YoNL04AmJ6eRqlUQqlUikbx64svk8kgn8+vOKTuukC1O1upVKJoptn3Zv+2G1e303mclTaF\naLuw9nCzxx9/HGNjY5EH4DoOe1+dYnslZgKJdmO1tdTNiI0iSs2mEGexWMTx48cxNzeHpaUlAM3W\nU4+PfOSRRzoqN8mFp927IAiihHtToHHBnrgLPIng2i0315vjTG2r6bKYL7zwAt761rc6H7Ni79ds\nY3eC7sPUnkgqlYral9py6jrqxIILKdCTlE0hTgD4xCc+gRdffBFzc3OR1TKTDLQF/e53v5u4TLu9\n7mq/6zaQbn/Z2UmunNa4dmCc4PTnVstdVtIWou3KmhazXq/jzJkz2LFjR9TOdNXZtc9OsFPrRCSK\ntOv2pbbmOmLsc1/lStjw0VqT++67D1/60pewZcuWKHPIdHH1C3weffRRTE1N4a677mpZnraCJq7v\n2r3VF6rO7dUudpy1jHN19XfzcycurCt90DwXdlT2sccew9VXX43XvOY1Tf2HrhEuruNIgiu4ptus\ncV0mSincdNNNicq/ENnw0VoX999/P7Zv347R0dGmtqDZga4HUVcqFbz73e9eVoa+mFyJ4xrzYtcW\nSFtp83k+s7OzGB0djRWQLqtVu9T12U5wcLmbun52H+Fjjz2GPXv2YGJiYlk+sD5OO0WuXq83pUSa\nEfGjR49Gy1zvGHW597lcDoODgxgcHMRFF10U9VOLhCmYPiUSrIRNm4Tg4mMf+xg+//nPQymF8fHx\nppcCaUxhfec738HJkydxzz33tC1bWxSXBTQvWtNijY6ORheqqyNdl9vqcyfiNMVmZ88899xzGBsb\nw7XXXhu5j0ktoHmc5ned9KG7WPQ5MN8Tao5H1fvSiQY6EKStdq1WwyuvvNK2Phc6m1KcAHDPPffg\nM5/5DOr1OkZGRqKOdPvCEgmjrjt27MDDDz+M06dP46677ort0DdxWQPg1Vcc6MQE81EmQJhhpF3s\nVm6uXc+4ZXbqnSvr58UXX8TIyAh2797d8nlHSbHrkM/nI0tqWk4tUD03byA6AKQ9DX2uyuUybrvt\nto7rdKGxKd1ak2KxiNe//vUYGxvD2NgYgFfbiVpAOtPEdHd/+ctfti3bNcTKFobZiW67j3r/s7Oz\n2L59e2xQKE7ArhE0+sJ/8sknsWvXrigVzn7np1m2C5dbaw7V0mILggClUgkzMzNN4rTdWzN6rS12\nLpdDoVBAoVDA8PAwUqnwxcEbxZ3V0K2NQbcdv/jFL+Kqq66KnpJgPltW9+eZUc52tAuKmAI0lwGv\nPmVP77dQKKBer6NcLkcX9NTUFPbs2bNMeHHTU089hR07diCfz2N4eBh79+5tulGYWUtmXdodY6vH\nnpiW0DXsTqf6mWMudVvTTDrQzQ59o9osbHrLafLwww9jdHQ0GkGixVOtVptc0SeeeCL6TdzjPWwL\n2eodmq6O/7iL2Ra7q30XZy1dKXnmtuZxtBOpbTX1Z9Ny6mlpaQmlUqkpSKQtpz0gOpUKR/DoRANt\n2dPpNMrlMm688cYV/8++QcuZAHMI2YMPPojJycmmfFwzwqhxWQ97fdJJY0Y9dfm2MO2Ajqu8JBZV\nk2TMZ6tjNG8SdkBMu+/6/OmROvoYTcy2Zi6Xi25S09PTGzLRoBUUZwz69eqHDx/Gjh07miwZED/C\nQ39vJ4a4ZeY6c5lpYbQ7aI4AcRF30+hEhN2I1r5h2c0EAE1ZR/ZvzdEmug6bTZjAJsoQ6pbbb78d\nJ06cwPnz56M3e5kWzU54b4erDeoSaNxnl1A6rcNaY7bXzZE5WoR60pFZbTE15hvVNhO0nAnQr7f7\nwhe+gN27dy8Leti0s5p6G9fchWubVgJfCXYwpxPiPAjg1Ta42RaNK19bVB3tveGGG7o4kgsfWs4O\nuPvuu5flcbqEF0crN9aeJxGtXc5q0Y1Vto/TDnbZATIdNNPRciB8isX111/fs+O40KDl7IIkF2uc\nxdTr4pYlcWtXW4wukgrU5U3Y7XM7wGUfj075e9e73tWbyl+gUJxd0M4FbRUgsstI0q5cLTG2c11X\nEsFtRVywS0+lUmnTCxOgOLsmrn+zHUmDPCtZ1i0raW/q37vQaXd2mbYodZ/yRh0C1ilsc3ZBu2cH\nrRUrEeZaR3fNZwuZCR3ms4bm5+cpTANazhWwkk57n+i1pXShx64CzamLQRCgUqms+ysRfITivIBZ\niahcLqbdRZTUxbUfbGbP9UgSuxw9XlZ3VZFmKM5VpFU/p2tbc56UTqyXq53cSnx2X679u3b10Ent\n09PTeP/735+4niSEbc4uOXjwYNttfMracdUlTmBx9XZlRLX7rJSiMLuE4ryA6FbsSYTZK1zjPEl3\nUJw9Jom7l+R3K9mnuTxJue3ajO1+5zpmc/A16Q6Ks4e0ulg7LSNuWRKXs50oW4mx0zrZVtLut2z3\nEicSD8XZI5Jk23RaXq/K6vS3LsG2En6c2Gu1Gl5++eWu67rZ4ZMQVsiBAwec6Xb2A5pd74sUiX98\nh+vpB+Z7SfSUZLC1rpO53Fzm+mzO7c+tRKuTDKrV6oZ8asFqoDbri4xWG1fU1hUQSRrldH1vRTsL\n262b7NrOdQwuV1Zn/pCVQXH2AFc6X6uIZVKRJllv7iNJmzPJTaGTfdrfdWreRnup0HpAca4SttU0\nl8dt75on/X0n9XGVGRfgMT+7xO+ymgwC9QaKs0fY1jOJNWsX3U0ipnZ0Y7nb7dflyprCfMc73pGo\nbqQ1FGcPiROo+dllecztbdq5oe2muPqY5cUtS2JFzceO1Ot1zM3NJThTJAnMre0xSr3apWK+C0RH\nSG30WMc4t9Z+ssBKLKYuq91NoN1yl8WsVCqYn59nql4PoeXsMXb0Vl/EcQGUOEvazoLZ+0hiMePK\njNtPOxdWT+VyGXNzcxRmj2E/5ypRLBYjKyoiTW8yc81dT4K3+ys77ed0TcDyt4/pz+bchUukfKTI\nylEx/ZwU5yqj26H61X62KPUr9myBmi+zdSUhxL12oVWygUuoScTpsqi1Wg2lUgk333zzap/CDU+c\nOOnWrjJanPZr78xJkyTAk8T17OW2Lje2VqthaWmJwlxlaDnXCNPN1c9t1a+6c7m3tuW0LasrTa/d\ncmD5kwDbpejp9rIWZbVaRbVaZfuyh9Ct9QRtSbVLm8vl2oqz3dvB4kTYSpz6cyu0KM33klKUvYfi\n9AydMN/f3x+97s71vsw4cXbb5tTfNXEC1S5tqVRCEAQU5SpCcXrKpz71qehFsdrVXUtx2phtzSAI\ncOutt67JedjMUJweUywWI4GaUVxbjJ2KM0l0FkBT4EeLMwgC7Nu3b13Ox2aD4rwAKBaLyGazzkCR\n+bbrVm+8tvszXcKM6xrRIt2/f//6nIBNCsV5AaMta6FQWNZP2spK2oOtgVCQ1WoVpVIJd99997od\nE3kVinMDcejQoehls0kSCvS8Uqng3nvvXYcak1ZQnIR4CjOECLnAoDgJ8RSKkxBPoTgJ8RSKkxBP\noTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ\n8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSK\nkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBP\noTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ\n8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSK\nkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RSKkxBP\noTgJ8RSKkxBPoTgJ8RSKkxBPoTgJ8RRRSq13HQghDmg5CfEUipMQT6E4CfEUipMQT6E4CfEUipMQ\nT/n//95PBraYcUcAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046462420496"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkxBHoTgJcRSKkxBH+X/aoRrtktm6nQAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140047413338448"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPIXiJMRT/j+THJIQ/UO5mQAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046448682192"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhHgKxUmIp1CchHgKxUmIp/w/0QygjXE7caUAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046448559248"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046448290512"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFCchnvL/tMIznaGp+z4AAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046447898384"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOAkJFIqTkEChOAkJFIqTkED5/zlzTf5ThpLoAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046434818256"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAePklEQVR4nO2de5BkVX3Hv6ef09Mzs7MPWNjFZVlB\nEt6aXRBCLIrAGuUlwYSI0VgmaEigCohiRM2sJClRwyMuKQiEgopgNIpR8LUrWEAVbMQgInEDrOzy\nXGR3dnZm59Hd091z8ofnXE+fOff27dfMmZ7vp+rW9Nxz7nncvt/7+53fOfe2kFKCEOIfifluACHE\nDcVJiKdQnIR4CsVJiKdQnIR4CsVJiKcseHEKIYpCiAvnux1zhRDiRSHEx+a7HaTzLHhxSil7pJT/\nhV9fuGuFEJd0uk4hxGFCiIeEEFIIsSIi33ohREUIscnYlxZC/LMS2X4hxINCiN/udJvbjRDiEiHE\nz4UQk0KIV4QQtwkhBoz004UQjwkhxoQQvxRCfNo6/iAhxFeFEAfUefh3IUR/RH0fEUL8QggxLoR4\nSghxvpEmhBCfEULsUOU9LoQ4rYPdnxMWvDgtLgLQUXEKId4B4AkAr9XJlwJwB4AJK+k6AL8P4GwA\nbwLwNIDvCiGynWx3OxFCnAng3wB8AsAAgDPU9nmVfjCA7wL4OoBDALwXwOVCiEuNYr4JYBrAWgDH\nAVgB4IMh9b0TwI0ALlf5rgfwdSHEMSrLRwD8FYA/BrASwDfUOT1oTk5Ip5BSLugNgFRf/qcBVNVW\nBLAagFAX0HMAptTfDxjH3g3gHgD3Azig9n0awJMR9b0XwEnqYpQAVoTkuwbA9wA8DGCT2pcAMALg\nEiNfD4BJAO+J2d8XAXzMKO/jql8FAM8D+HMj71EAfgBgP4ADqi0nqLScEtivVP3/C+CPjGOfA3Bl\nSBtOAnC+te9GANvU5ysBPG+lfwbAz9Tn31N1DsTs87cA3G7tewjAzerzzwBca6X/Mqz9C2Wb9wa0\n3AElTvkbsX3HSPtrAK8AOB5AEsC7AZQArDfy71PWNtFgvaHiBLAOwF4AR1jiPEod81tW/icA/GPM\nek1xXgZgD4CTAaQA/CGACoB3qPStAO5SN4AeZXF+rNKuBfBzAAcpkb9HWfnlDZ6HBIBTVLuuUPvu\nBfBVK9+71Y2zB8CnVJ+HALyuvJCbAGRD6ngNwF9a+74A4DFVXhXAH1jp/wng3vm+PlvZus2ttfko\ngM1SymeklFUp5fcAfAfAh4w8I1LKr0gpZ9pY720APi+l3GXt127Wfmv/iHLXGuUjyqI8IaWsSCm/\nCeBRAH+i0geVF1GSUhYBfFJKeYqRVgYwJaWckVJ+S1myfXErF0J8QLmmjwC4S0q52einq48JAEsB\nHKZc2SyAI9WN4WIlWhdh5a0AsEyV265z6g3dLs63APgHFdEtCiGKAM4DsMbIYwuoJdQFu0JZgtiH\nKYvaKOsAbLf2/VLtB4C/U+OwF4UQdwA4RwghVNq/KKvzmhDiG0KIv1D/x0ZK+WUlsN8FcLEQIqrP\nul6pPpcAfEpKOSml/IlqT1i8wHVu6p2zZs+pN3S7OAsAPqoiunrLSCnPN/JMt6syFbn9AoBLpZRV\nR5Y31F/7jr7CSGsEVxBJiwBSyh+ooNPVyq3/CoD/UGkvKXf/AgA7lZB/FhUxdaE8kieV1btcCJFW\nfXH1saIs2q8A7Jey5pGoFwGsCqlmT8Q526fc2nadU2/odnHuUMGLACHEGiFEskP1naMuii1CiGEh\nxLCyKtcIIX6qrPQwgPVGe/IAjgXweBP1vaAEZnKs6jeEECuklFNSyvuklB/W7qMQYpmqNyulfERK\neY06bhWAs+pVKoS4QQhxt7U7q0Qyo8aT6630UwD8j5RyGsAvABxmTUMdAeClkCrDyntcSllSEW/z\nnAoAG5o8p/4w34PeVjcrIHSr+qIGAWQA/BmAcTVtkQJwqgrUvEc6AkgN1jsrIASgV42nzG2bimQe\novJcB+BZFRzqB7BZXaxJlX45gPsj6jUDQn+j+vM2AGnlFlbVhZpT47ArlHDSKoK8R92UtwD4shoD\nCgDvUGPQ42P0/RyV972q3HUAfgrg6yp9ubKQH1ftWK/a+T75mwj1LmXFlwA4EcBuo1+r1Tk6Vv1/\npoq2n6X68qfq/3Uq/cOqX7+j6vtbZTWXzPf12dK1Pd8NaLkDteI8XX1J4+qLEgA+CeBl5eI+Z0b9\nXOKMMZWyVQVZplXdRbV9OiR/EK1V/6cA/JO6WKeUSNYZ6ZsA/Dyifnsq5e/VOPMAgJ8AeKeR9wwA\nP1ZR2FEVuDlFpb0JwANq/4SaSvmgcWzoVIpKfx+A/1N9fxXAvwJYaqSfAuC/VforAK6yjn+Lmg6Z\nUt/ZkHGDWqvO7Xoj/4eUp6At5dlWeZ9Q7Sgqi/m2+b42W92E5JsQvEItXvielHLjfLeFzC/dPuZc\niJy74MdKpC3QchLiKbSchHgKxUmIp6SiEoUQ9HkJ6TBSSuHaT8tJiKdQnIR4CsVJiKdQnIR4CsVJ\niKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQ\nnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4\nCsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJ\niKdQnIR4CsVJiKdQnIR4CsVJiKdQnIR4CsVJiKek5rsBpHm+9rWvoVwuY2JiAqVSCcViEZVKBblc\nDj09PVi+fDny+TzOPffc+W4qaQIhpQxPFCI8kcwZd999N6amprBnz562lNff34+1a9fioosuakt5\npDWklMK1n+L0lJtvvhkHDhxAtVoFfv1dBGlSSgghoL+7I444AolEAkIIJBKJYNu+fXtwjHm8iS5r\n06ZNHe8TcUNxLgBuv/12jIyMoFgs1uzXAjIZHBxENptFIpFAKpUKBGkKVO9ftWoVtmzZMquMsHKv\nvPLKDvaS2FCcHnLHHXdg3759KBQKgGXd1q5dG/yv/+7cuROpVAq5XK7GQiaTyZr/bXFqwfb19WH5\n8uXYu3dvTb6RkRE899xzgBKsWefq1atx6aWXzvm5WUxQnB5x5513olAoYHJyMhCm5vDDD8fMzEwg\nKo0QArt27UI2m50lxlQqNculdYkzlUphxYoV2L9//6z8mUwG4+PjKBaLeP7552dZ1IGBAVx99dVz\ndo4WExSnB9xyyy3IZDKYnJzExMQEKpUKhBBYs2YNpJSoVqsQQgTCsS3nrl27kEqlkE6na9xYW4RR\n4uzv7w/cZrP8TCYTiH5qagqlUgnPPvtsTfullFi/fj3OO++8OT933QzFOc/ceeedqFarGBsbQ6lU\nQrlcBgAccsghgSDDRKn/vvTSSwBQI07brbXHnOb/mUwGvb29Qd1m+TpfMpkMtkQigccee2xWX5Yv\nX44rrrhijs5c90NxziNf+tKXkE6nMTExgenpaZTLZRx22GGQUqJSqQSissUCS0BanFLKGoHGEWcy\nmUQ2m0U6nQ7aZden/zdFWqlUMD09jWeeeSaIEAshsGHDBpxzzjlzfi67EYpznrjrrruQTCaxZ88e\nlEolrFy5EjMzMyiVShBCBMJyidHe9/LLL9dEWPWxtoU03VjzsxZdLperaWPYjUELOplMYnJyEqVS\nCdu3bw/SV65cicsuu2zOzmW3QnHOMbfddhuWLFmC/fv3o1AoIJ/PY2pqalYwxxYgLIHAEuzLL78c\nOmdpIqUMxJlMJgORrl27NvI4l1BNVzeZTGJqagpPPfVUkO+oo47C+9///ibPFAkTJ9fWdoDNmzdj\n+fLlQfSzr68Pk5OTswQnpZy1QQkrbFuzZk3d+nU5lUoFlUolWNq3bt06JBLRX7mrzkqlgmq1Gmy5\nXA7HH398kH/Hjh247777WjxrxIbibDM33HADVq9eHQgzn8+jUqkE6doamUK0/0opMTMzU/NZb9Vq\nFatXr645Jgx9M5BS4sQTT5w1tg3DdcMwxTkzM4N8Po8TTjghKOuZZ57BAw880MKZIzYUZ5t585vf\nHIzPstksyuUyRkZGAMtltC0lHKIwRamFWa1WUS6XcdBBB9XUa5Znc+qppwaurR38cdXr2sz6q9Uq\nstksstksjjvuuCDPk08+2bHzuhihONvI0NAQisUiisUikskkyuUyhoeHkclkasaXthhRRyCmOMvl\nMorFIg4cOFBTniuABACnn356TeDJJsr6Rgm0WCyit7cXPT09OPbYY4NjfvSjH7XtfC52+MhYG8lk\nMigWi5BSolQqYXh4GLlcLtRa2WI1cQlYi1NPb9hL7eyyBwcHMTk5iWQyWeMm2/XVc49N9EJ8vVih\nr68PMzMzOOaYY7B9+3ZMTU01cMZIFIzWtomhoSGcdNJJeO2111AoFDAxMVGz6iaTyYRGYV24LGi5\nXA7EaeZzlSOlxKpVq9DT04NUKoVUKlWTZn8OE3rYggjtDSQSicB9LxQK2L59O9avX493vetdTZzF\nxQmjtR1k06ZNGBwcRC6XQ6VSwcTERE26bTHDPtdzbV1RXRu9L5PJoFqtBquR9F8d0NHuqW1J44w/\n7fFwpVJBKpVCMplEtVrF5OQkfvjDH7b5LC8+6Na2iUMPPTQIBEG5fTbSeg7T/GzncwkzbHmfielC\nl8tlJBIJlMvlYI7StrRhFrMeMzMzwWe9ykmXv3fvXuTz+YbK6yT33XcfJiYmsHPnztB+ZjIZLFu2\nDAMDA7jkkkvmvI0u6Na2yNDQEBKJBE477TTs3LkTr7/+OqSUsybu9YIAOBYcwGEFbUtpilTPX4ah\n3dje3l4kk0mk0+malUhhwaMoscNybe0nYDKZDABg//792LFjB0488UTk83ls3LixpfPbLPfccw+q\n1SoqlQpeeeUVZx5prbbKZrPI5XJIpVJYtmwZLr744jlpa5hbS8vZIuZiAu0mugI0iGk54wRn9FI8\n7aKabdEiTCaTNXVoYWsxmW2x514RcdOw0X03XVuNXmA/19x6660YGxtDMpnE0qVLZ6Xb0W09LZTJ\nZJDJZJDNZmvO63xBcbaRYrE4ax7TJUx7CgQhIrCFbIpeiwyWa2pbNLMtMNzRsAhvWBvsv65poJmZ\nmRpxNhIFbhc333wz9u7di2w2CyEECoUCDj/88OD9S3qcrG9QiUQCRx99dNBubW2np6fnvO02i0Kc\n9957b00AxB4Pxo2g2rzwwguAuggTiUQw3jSF4LJKUdj59EVkttvOYy8uMOvUonH1015D67LoZpr5\n1yzTbE8ikUA6nQ4CRffffz/OP//82Oe0UW655RYUi0VMTExASonR0VEAqHmIfWxsLPjsugk9/fTT\ngArs+UTXinPz5s2B9TAn7OtNZ8RdVG4fE3dZnH3hR5Ubp112v8L6Vi8IZR5jty8qaGX+r61SKpWq\nuSl0ktHRUaf77HLRzTTzRuObKDVdJc7Pfe5zwZhLv2Ug7OKNEmUjli6sDFjunulK2Rd9PVHXu4G4\nAjZxbhT16rQvcNut1X2CJU696KHT3HjjjRgbG5s1XECdm5l53n0VJrpJnJs2bUK5XK65OGw3DyEX\nblxXNuqC3rt3r1Oc+iLVF3Rcy+QijvVEHXHaFq9egMq137bI5jRPtVpFPp/vuOX84he/iPHx8dCb\nLUJufr5bS5OuESeM6QfzBVlxxFmPqIiq/rJfffXVYJ9Zvr5J6L9wiLLR9sS1nPXcubCbhCuPvd+V\nX5///v7+mptAu8ed119/PSYnJ+ueP9f+z372s21rR6dZ8OK074B6SkOvAUXIGDGKsCmPsIsSACYm\nJrBkyRJnedVqNXBpzadD7Prqtc2V5hKmXaarT67+xhGzvtGYx2iLaR6jhxV6NVI7uP7664MHC+zz\nETUNtFAspU3XLN+z3TVYX049i2ke77Ky9njGdWHoSKGrbPPJEn1xu9pqtyOq7XHHlfbfeufAniZx\ntc+0lLpP2o01l/bpfN/+9rcj646DjoaH9RMhXsVCFCa6wXJGWZ1GAwXN4BKtdmFN66KncUzMKR1X\nW6Pctnp9atQ7cLUj6q/GnFIxF0aYNxRTuM1y3XXXOcuod44WqjDRDeKs5w6aLk47xhv6y7bdXP35\nzDPPxIMPPuhskxkc0uixcRyxRPWzEaLc9qixpl2G2Z5EIoGxsTHkcrmaAJHpNTQ79rzpppswOjrq\ndLthnRPzXC1kYaIbxImQ1TcAcMEFF+Ctb31rR+oMs1yPPPIIzjrrLDz44INOIZl3f1t0URdbWBAn\nrE02UeXUSwsbb+v+JJNJjI6OYsmSJTXvxLUDRc1Yz5tuuqlm5VW9/naLMNEN4nRZlXQ6jSOPPDJ0\nDNjJtlQqlUCgDz30kDOfeZHqYJHrTQkIsVpR4qq3L6wc1/9RopTGqqVCoRAIU7+1PpFI1ESqG3Vt\nH3jgAezatQvFYjF0rNntLPinUuw7ZD6fx8qVK9HX14d8Po/BwUGccsopba0rLBIK6yJOp9M444wz\nap5ttI+1XwRtfkaIhW5lX5z0eug+9PT0QKq3Pmjxme3XC0LS6XTwMxKpVAoXXnjhrDK3bNmC4eFh\nlMtlTE1NYXp6GoVCYZYw602fLESLuWieSkmlUjWvcqxUKnjiiSdw8sknd6zOsAulXC7j4YcfxsaN\nG7F161Zn3rBFCmYwyXQRW7WQYePKepFcs41SzWXqh7lNq2haTDuya1vP73//+ygUCsG7lvSbHqan\np4PNrj+sXVHfw0JlwVtOWHfLXC6HwcFBDAwMIJ/Po7+/P3hVx4YNG5quY2hoCIhYiRJ1YaTTaUxP\nT4e6iBphzBuaVtTcbx/XKeto98/ckskkenp6UCqVaqKzUr3I2v4dF/3TEel0OrCe+iFw/WyqFma5\nXA5+tsJ+ZjVqygQL1Gqi219TYn5ppVIpeCWH+TIsbUGbxTUetNNc6VK9+6e/vx8bN26ssYiuvPYr\nKO0XOpvvjjXnEsM2+/WajW62F7J06VL09vZiamoqOL+6zVHtsNtiC9K0mLpO+9y4bjj6HC5UYUbR\nFeI0p0j075Do8Yq+M7dDoIhhfcLSJyYmsHXrVixbtgyoY22lscopSqC2WO3PYe+9jSNKXa/5bOPg\n4CCmpqYwPj4e/CCT/S4iaS1QmAl5ObYpTi1K05LGDR51mytr0nVjTgCYnJwMnsrP5/Ntmxts9hhT\niPv37wfUjwC98cYbdac/zIhn2GtG7P81jbq0ZnvNaOyKFStQKpUwNjZWI16N/WYFVzm2aE3PxrbO\nruV+rv5putFqolvGnCZDQ0PBF5jNZnHooYcin88HP3+XTqdrfh367W9/e0NlNkuYpUwmk1iyZAmO\nPvpobNu2LcgLx4XoCvTEEWdYOaaQzMDUcccdh5GREUxPT2N8fNy5VtkeC4f9HGEymQxeo2lGbwuF\nAorFYiBG05I2ciPsBmEummitOTbUT8jDurB1RDGZTGLbtm1IJBKR0y1mmY1OOcAQkSu9UqlgZGQk\nEObAwAD6+vqwe/fu0HbAskpheeK2DwDWrFkTuJcvvPBCzVgSjr7b0V/XFpam3VpTmKZ77KqvXvu7\nka4Yc5qYd1IhBMbHxzE+Po7JyUkUi8VgbGNvjz/+eN2yW4l2hpVnl3ngwAHs3r0buVwOBx98MM4+\n++zQIFSY4ONetBs2bMDq1auxYsUK7N69G3v27Al+slCPJ+tZcZcVjgoI6b+2S6v/NiK4bh5vohvd\nWhPtjqbTafT396Ovrw+5XA59fX3BmNR0w/Q+29XdtGlTw1bTpJVjoaZi0ul08NrGZDKJNWvWBNbW\nxFXPhg0b8PrrrweWUAdhCoVC3ce57OkL2xuwp370NImwfu7edntHR0eDqRgzUBXVD/tG0Q0uLSLc\n2q4WJ4wvMJlMor+/H729vVi2bFkw32aL076wTj31VC8uAmmtf4VxsWaz2eBdtWak1/w9lXa1AZZw\n7PlYe55TCFEjTi3QbDaLXbt21URm6y0mMM/BQnpouh6LZsxpo7/QarWK0dFRVCqVwArpwJAWqDTe\n66qtwqOPPtrSL2dFXXD1plM0dpDHnit1raYJK9MWeCPY0VhYbq1rjCmsR+ikMZfrarM9rnUFuLpJ\nmFF0veU0Md1T7eLqFwrrzbUyZ9u2bU1d1HbQBHXGSbZVdFnKdo6zpGPpX1h7ojDdW9NymvvsKG4q\nlcKLL77YcH988GLazaJ1a12YC9gHBgaQzWbR09OD/v7+4GcTzIvL/FHYZgXiEkA9y+m6IcQReVhZ\nzRJ2gzDb4ppKMffZ4kwkEjXvXYpDNwoT3b58r1FMCzo+Po7h4WGMjY3hwIEDmJiYCFYXudzFdsx3\nNlKWSwhRwZKoMpohynKbbXG5u1Fbo892dqswo+j6MWcYetyiI7rj4+OQUiKTycx6xMlFo9ZIONbS\n1ssf9b+rLe12e+16w9xe13gzao5TGIv4STiL0q11Yc+P9vb2BuIcHh6elT9MCHEnz8PENJ9TNlHl\nRqHr1OPLetMr2uK+8cYbsfrS7VaTY84GiZrbtM9ZK2PQZo6PCuTEFVIzRE3nQInTNba09+lt7969\nzjqwiCKyoDhbw3XnbkVcYeU0Wla91TtmmXHb63JVG2mTy3K6xAkA+/btcwa8FpMwsZjnOduJeSE1\nOoYMK8+kERFFpYdFd805yajj7X42gj3eDAsY2W3tdte1GSjOBnAFaVoRaJg76nIZXfldFi7M5Qzr\nAxxijZprDcMlSjMQ5GoPBRkNQ2YtYI/97LSwi9KeckCM14q4hGwLOmqqwy7DJGx6phHraVtIs43t\nmEpZjFCcMdDBIZsoF1eEvIrERZiI7XLCXEPXHGOzhN0EGi3TFqO5b2ZmBldddVXTbVws0K2NSZzx\nn8v9i7JIccqO4+7CukG4Fi40g8vNrddu+y185lvfG7lhEUZrG6LZMZI9DmzHXGTY99aJeU6zzihx\nmXXbUymm63zNNdd0rI0LEUZr5xHTqrZz2sUsPyq9nURZbddNqJ0u92KD4mwjUW5ks6uJXOW4IrTz\nSZj4XGNpBoLiw4BQA0S5tc0IJI4wpbVetZWyosqPg7BeKGaOSV37XRHaa6+9tql2LkZoOdtMM6tq\n4pZr4loo0Grgpx245lmbifYSBoSaIsyCtjPYE2f1jsutbXT5X6eEaaL36Z+0ILXwec4OYVqFdo7/\n4gR/WrXScY9rZK7WtV+/dY80BsXZBPbjZS6Xsx51PJYgT9hqG1uYcSPBjbqaYVFXV56o/nCpXuNw\nzNkmoiK1Llc0zqKGevuixqFxyo1aZ4sQKx1VZlh7aDWbg5azSWxLECW4OOtbbepNT0Tlj1N2mLUP\nCzI16j6b7Vlsj4C1C1rOFmjlgjVpZGlglLWL25aoYFOcMsP6bVtdRmlbg9HaNlBvPNXKGtdmIrFx\n6mvXjcVsm52HFjMejNZ2kHrijHJ5XatoXMfaT4u4lsU1chNoZixYz2030ynM1qE454g4wRSX6MKO\nqbeeNs5CAFeeqDrrjXfbsX6Y/Aa6tW2k0d/x7MRKombLdAnXNX8bNrdq7uO0SWPwBV9zRNTLwDpt\nUTohdoQI106jMJuH4pxjFttFutj6204YEJpj7Iu1lSkFn6YjXG2hMDsDLeccYP5wUjsftp6vwIvu\nB0XZHujWzjMuSxoVcY0a13VKpK5FBHYdeh+nStoHX1PiGVFL+sIWt9v57SmMdrUpLIBFizm30HLO\nMfYzjfWeaLGnMcx8rTzLGVan64bAaZLOQrfWU8J+MCnugoAw8YYR5arawpSL8HdL5gOK03P0AoZ6\nLmrUiqBm1suG5aeFnDsozgVE1M8PhhE1RrXzRNVL5h6KcwGix6ednjKhKOcXirOLCFsiGEfEFKJ/\nUJyEeAqX7xGywKA4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4\nCfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEU\nipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQ\nT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4\nCfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEU\nipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQ\nT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQT6E4CfEUipMQTxFSyvluAyHEAS0nIZ5CcRLiKRQn\nIZ5CcRLiKRQnIZ5CcRLiKf8PphZo5rDxwscAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046434053200"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQjzl/wPI78CAnl3IGQAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAezElEQVR4nO2de5BcR33vvz3v3Z2VLeuBhCUhiA0G\nOcYYFzIkOClfrrFxcMQtyMPXCVR8c83lJlU4YCchJFrBDTEpbBVWhSREkBRJTMjj+uIHcQxxEVMQ\nbMO9CrYB2wJZtsGSV1pJszuz8+77h7uPe3q7zzmzO6vpnf1+qk7t7Olzuvuc6W//fv3rPmeElBKE\nkPDIDLsChBA3FCchgUJxEhIoFCchgUJxEhIoFCchgbLixSmEqAsh3jHsepwuhBBPCSE+OOx6kOVn\nxYtTSlmSUt6BFxrudiHENctdphBiixDiX4UQUgix3kr7qhCirToNc5tQ6XkhxCeVyE4IIb4ihHj1\nctd50AghrhFCfEcIURVCPCOE+DMhxBoj/aeFEF8XQpwSQhwUQnzYk09WCPFtIcRTMWVlhRC/J4R4\nUghRE0L8PyHEzxjpeSHEx4UQh4UQc0KIx4QQ/20ZLvv0IqUcmQ3ABwDcvcxlXArgxwA+B0ACWG+l\nfxXAVMz5fwTgUQDnAigDuAXADwEUU5b/FIAPDvk+XwagBuBKAFkAPwHg+wD+VKVvBHAKwPsBjAG4\nEMARAL/uyOuDAE4CeCqmvN8BcBTAJQCKAK4FUAHwUpX+BwAOqXuaAXA5gBaA/zTsNrmk+zzsCgyg\noUgA7wTwYQAdtdUBnA1AAPhtAI+rxvQ4gF8xzv0rAH8D4E4AFbXvwwC+HVPeO1Vj+9l+xakazgyA\na4x9JQBVALtSXm8kTpXfjeq65gE8AeA649hzAdwL4IRqzF8FcIFKGwOwX4mmqjqMdxnnPg7g/Z46\nXAjgamvfrQD+XX1+P4AnrPTfB3DA2rcdwDSAqQRxPgTgZmvfPwO4SX2+B8BnrPSDAD4w7Pa5pLY9\n7Aos+QKUOOWLYrvbSPufAJ4B8JOqh38bgAaAi43jjwO4BkCmz3LjxPlvAP4vgFkABwD8jHxRLBLA\neY7G94cpyzXF+T8APA/gDQByAP4LgDaAS1X6fQD+UnUAJQA3A3hQpX0IwHcAbFAi3wVgDsC6Pu9D\nBsBOVa/fVPv+FsDfWce9TXWcJWPfvQBuAvCeBHE+DOCPrX1RGQCuV9/z+ao+V6gO5/xht8+lbCt+\nzJnA9QD2SSkfkVJ2pJRfAnC3agyaGSnl7VLK7oDK/K6yYFcBeKkq714hxMuVEKAsmckMgPWOvJL4\n7wA+LaV8SErZllL+bwAPAPgllX6m8iIaUso6gN+VUu400loAalLKrpTy/wBYI6U8nrZwIcSvAGiq\nzugvpZT7VNIGzzVmAKxV5/5XAJuUxU3iiwDeI4TYqcaXbwPwnwGswwtDsz8H8E8AHlGd0x0A3iel\nfDTttYTIqIvzlQD+lxmYAfB2ANuMYw4NskAp5fuklL8upXxOSjmr3LnnlHX2IZRF7ZdXqM7A5KDa\nDzUW+wUATwkh/gLAVUIIodL+RFnTHwkh/lEFUEr9FC6l/Gs1BvwpAL8ohNgbc7guVwohzgLwCTUG\nbaco6o+VB/APylP4BTXmb+EFod8I4K3K3R5XHsRtQoi39nM9oTHq4pwHcL2K6OqtIKW82jimuZwV\nkC/4XYcAbFZBDTis5HojrR+Kjn1aBJBS3gtgK4DfUm797QA+r9IOK3f/51VA6g8AHBBCTPZ5fR0p\n5bcB/B6A3xBC5NW1uK6xrSzorcolfThlGU0p5W9LKbdJKddKKd+jrOaz6pDfArBXSvkfUsq6lPKf\nVRzhun6uJTRGXZxPqt40QgixTQiRXY7ChBBnCCH+RAix3diXVRb8oBLpMQAXG+kTAHYA+MYiivyB\nEpjJDnXdEEKsl1LWpJT/JKX8NTWu/EUhxFmq3KKU8t+klDep814K4C0prvMWIcRfWbuLakzZVWPo\ni630nQC+JaVsAni3clOPCSGOAdgHYKv6/6cc5V0ohLjC+D+r3NoH1K686nzs+qxshj3oXepmBYT+\nFMB/qPFUQTWCWfVF5gC8UUUHd0lHAKnPcn0BoYcBfElNJ5SVS3ZSHwfgI2ra4VwAk6phPgYgq9J/\nA8CdMeWaAaEPqOu5SDXQa5RALlbR2BMAflM11LwKvjyvOuV/AfDXagwo1BRRC8BPprj2q9Sx71T5\nvkIFwP5Bpa9TFvJGVY+LVT1/WaVvsbYbVEBni6rr2eoe7VDHX6vu4WtV+i2qsyuq9L9Q7v156nu+\nTAWEfmnY7XNJbXvYFVjyBfSK86dV45sF8HrV6H4XwNPKxX0cwHuNcxeIM8VUyn0qyNJUZdfV9mGj\n4f29qkdNBUsuMM7PqfHWtEr/FwCvMNKnAHwnpnx7KuWjqqFWVMfwVuPYnwXwoIrCnlR12anStgK4\nS+2fU1Mpv2qc651KUem/DOB76tqfBfDnANYa6TsBfFOlPwPghpi8eqK1aopF6qi62veHyl2uqu/g\nJ4y0MoC96t7Mqc7ufcNum0vdhOSbEIJCCJED8CUp5eXDrgsZLqM+5lyJ/Nwix59kxKDlJCRQaDkJ\nCRSKk5BAycUlCiHo8xKyzEgphWs/LSchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIo\nFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCch\ngUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJx\nEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIoFCchgUJxEhIo\nFCchgUJxEhIoFCchgZIbdgXI0vjCF76Aubk5NJtN1Ot1dDodlEollEolrF+/Hrt27Rp2FckiEVJK\nf6IQ/kRy2vjc5z6H+fl5/PjHP4YQoict7vszMc/bsGEDtm/fjquuumrgdSX9I6UUrv0UZ6Ds27cP\nlUoFrVYLMERoixMAtm/fjkwms2D77ne/68xbSgkhRJTnxMQEbrrppmW9HuKH4lwB7N+/HydOnEC1\nWgUsq+iymJs2bUImk0Eul3OKM5vNIpPJ4NFHH+05z87TFP7mzZtx/fXXL/u1khehOANk//79mJmZ\nQa1Wi/Zpq7Z9+3ZACUaLSAiBH/7wh5icnIQQIhKhLU6dZu9fu3Yt5ubmevbPzs6i3W7jiSeeiMqH\nIdxzzjkH11577RDuzuqB4gyI/fv3o9FooFarYW5uDjDE8LKXvQzdbjcSmZl26NAhFAoF5PN5p4U0\nhekSZz6fx7p16zAzM7PAyubzeVQqFaeVFUJg06ZNeO973zuEuzX6UJwB8MlPfhITExOoVquoVCro\ndDoAgG3btkFKiU6nE1lKnzjz+fwC0ZnijLOc2WwWa9aswfz8fE++WpzZbBbZbBZzc3NoNBp4/PHH\nI0uuedOb3oTLL798CHdvdKE4h8z+/fshpcSpU6dQr9fRbrcBAFu2bEG73V4gSluYAHD48GFIKVEs\nFheI0LSYPtHmcjlMTk6i0Wj05K3L0+LU583Pz+PAgQM91yGlxLZt23Ddddedxrs32lCcQ+SWW25B\nuVyOoq/NZhNbtmyBlBLtdtspSFucQgg89dRTUZq2ivbnOHGWSiXk8/kF40qdp2lJs9kscrkcms0m\nms0mHnvsMcBwdd/85jfjLW95yxDu5uhBcQ6Jz3zmMygUCnj++efRaDSwceNGdLtdNBqNyFq5XFiX\nQA8fPhxNgZii9I059X7TGubzeRQKhZ462uI0LWmhUOhxdb///e9H57385S/Hu9/97tN2L0cVivM0\ns2/fPmzYsAEzMzOo1+sYHx9Ht9tFs9lc4H7CEiUsd9bc98wzzwCeeU8pZY8Vzmaz0V8AyGaz2Lp1\nq7fOrjqY4s5ms5BSol6v48CBA1FHcf755+Nd73rXgO/g6sEnTq6tXQZuvfVWbNq0CZVKBY1GA+Vy\nGbOzs5G1NK2UFpmUMnGDJUp77lOLpdvtotPpoNlsRlHharWK2dnZqDNw4Sqz2+2i3W5HGwCUy2Wc\nf/75UV0ee+wx3HXXXct0N1cvtJwD5uabb8a5556LSqWCubk5FAoFtNtt1Ov1HnfTFikcCw18aUII\n/OhHP/LWwY6wAsAFF1wQpXW73VTL/sw62gEjKSXm5+fxyCOPRHldcskluPLKK1PdJ/IitJyniVe+\n8pWo1+toNBooFotot9s4duwYYLiJGpdVtK2W3jqdDjqdTmTJNm7c2JOPiS3MnTt3Rq6tq1Nwle2q\ni65Dp9PB+Pg4SqUSduzYEeXx4IMPDvRernYozgEyNTXVYyVbrRamp6dRKpV6gj5IIUyfOPTTJ3rx\nAqxleLZQL7300p45TxvXOa462gKt1Wool8solUp4zWteEx1///33D+huEj4yNkAymQxqtVokomPH\njqFUKjnHmbZQXdji7Xa7aLVaaLVa0fjVxP7/jDPOwNzcHLLZLLrdrre8tE+2AIgWTmQyGczNzWFi\nYgLdbhevfvWr8b3vfQ/1ej11XiQejjkHxNTUFHbs2IGjR49Glk2vuslkMigUCt75S435XbispxZm\nq9VyuqX2vs2bN2NsbCyqh52/XaYL3xSPuYSwVCqh0WigXq/j4MGDeO1rX4srrrhi0fdytcEx5zIy\nNTWFcrmMNWvWoNPp9Lic8AgwTXTW59763FjzcyaTiaZudNS21Wr1jF11YGgxdTC3drsddQC1Wg21\nWg1f+cpXTsOdH23o1g4AKSU2btyI+fl5NBqNaL7RdZy5iAAeyxUnSi06jWnRzGmWfD6PVquFTCYD\nKWVk6XTZrudCfZh11n/NOrRaLRSLxSgKffz4cYyPj/d5F5ePu+++G5VKBUeOHEGlUlmQLoTAmjVr\ncNZZZwW1qILiHACZTAabN2/GoUOHUKvVvNFQVyO3j7H/t62jdk/1nKOvPvp8bdU6nU5Upr3wwf5s\n7ksTLNLWOJvN4pxzzsHBgwd7osnD4Pbbb0en00G73ca3vvUt73H6+qrVKprNJm677TaMjY3hzDPP\nHPrCCrq1S2RqaipqpD7B2OM7n2tr73Ohl+1pN9JER2X1uljdSWj31XRFpTHf6drS1lvnoa89l3uh\nv+92u7jnnnuWfH8Xw6c//WlUKhVUq9UFU1f2Z+1llEoljI2NoVgsQggRRGCLlnOANJvN6LOrocdZ\nTpcY7eiua92tFocwnmoxFzpotFvsysNVblKgSF+buSrJXCrou6blZt++fZieno4CcM1mE6973evw\nyCOPRHXqdrtRJ5LJZFAul3H22WdHXkmn04leDzNMVo04P//5z0fBC5dLmeTiuTh48GD0WT9ipTEt\nix7rpcU8VgtOj2PtfFyrjcw5VXvM6ltY71vL6+tUTKtpl53P56N7fdddd+Htb3976mtfDLfeeiuq\n1Sra7TaOHz8OqHGwZmZmpud42zOZmZmJjpmamlrWuvbDSIvzU5/6VNRwdCDAtyY17n8T17jQNy3i\ncgf7HXfadXJZNd+qH32sq84+7Pzt+mp0p2PmqV3mXC63ILK8XHzsYx/r+W7jMF1Zk5AEaTJS4rz5\n5pt7HpXST4Ag5hlJk6U0JHuRARxjSl9Dj4vcxtXT1THYQvVdU5Il97m25n6XWLvdbs+ih+UU5969\ne3Hy5ElnGa77bKbZ1xIiIyPOPXv2oNVqRQ1Dj33sZyXjGm3antdFtVp1WkFtPcz3ArnGm2kasU+k\ntkuaNFXi6yjiOo+4zgVKnPqvHrstp+X8xCc+Eb2l0EWSpyGlDNZiakZGnDpiaPbcZkNNspqufWnc\nQX3OD37wg+gYVyDGbKi+xt8PvjEiLIGmcZttS2y7fy4rb+83x6Dr16/v8RYGPe78+Mc/jmq12nOv\nk4YIZlrootSseHHqG62/nDSPQyVZB/uYOIuh9586dQrr1q1z9uadTidyr80HrF3EWZq4DsX+m+RG\n2/td42A72GP+b0eI9cvJ2u02stls9F4kMzI6CHbv3r0g8OYaUtj3a6UI0mRk5jmTxliIebQqbSAn\n6RwdKXShn+gw5xnjyrTLGIQb7rou39+4+tmbOX+qvRZ7PvWLX/xibF3T8JGPfGTBPpclN4W6EtxX\nHyvectr4GjcsYdmNL2mc5ssHHvHa++2nQuwFBHFWOkmYSek+ly/OvU5jbe28tQW1ryPtw91xfPSj\nH42ssQvfuH3Pnj1LKneYjJw4XQEXEynlkr6wuF5YSokrr7wS9957b1QXM80UKIy33CFGLHA0vKUG\nWZLGlv0I07yWY8eO4Ywzzoj26+it3u68805cffXVfdf3s5/9LJ5++mmv2+27vpVqMTUjJ04YjW3X\nrl248MILT0t5ukF87WtfW5BuNmz9PKTGnOpxRXFdaT5LneTSu6wzHN6GT6S+/foazjzzzJ4ljPo4\nU6D9snfvXhw9ejT2Gl11XOnCxKiMOV3joVe96lU4ceLEspep0Q2xWq1iYmKi5xi7QZmPbWk30Dem\ns6/Pdc2uOqU5x1eG/dleg2uPKfWx7XY7ujbX8f26trfddlv0nl8XSa7/SmckLKf5xYyPj2PTpk0o\nFotoNpt48MEHsXPnzoGUs3v3bmeZ9j79POfk5GT02bZO5ruBXO+ctfFZvDSuXtpzksTjspjFYhH1\ner3HKzCXGUrrdZ133HEH3vGOdyzI+7777sP09DTa7Xb0hEitVku9AF2Xt5LHmDYrXpy2i1coFHpe\nRNVut/HQQw/hDW94w7KWbe7TdZmdne0RqAvTKunGbzZoODqCNGIzcbmqcePHONdR108/GVOr1aJO\nxpxmsTeX9fzyl7+M+fl51Ov1SJj6TQ/6AfG0jKLlXPFurd1TNpvNnif+9eeHH3544GX7GoQpgLm5\nOUxOTi44xhaG2aG4NlPESOGS2mW5XFXXZqfZHZ1e6KGFqQVlu+hxAr3nnntw5513olKpoF6vo9Vq\nRfmYb21I4wabHdIojDNNVrw4YTX0RqMRvZrD/NK1BV0si/nidb0qlQpe8pKX9FgWu94w5kLNsZtL\npLaQ0OdYMUk8tjC1KLXbOjk5iVqtFonJJ0xf+Y1GI8rXtJR6M19gbV+b674JIUbKndWMhDjNL0Z/\n+fV6PeqV9dbpdJYk0DST/qbVNIV49OhR5HI5bNu2LVXEMY0lNf/a+1zvu3VZQ3thRJy1POusszA2\nNoZKpRJ1fmkspiuIZArS/KzLi3Oz7Q6u30DTSmHFjzldVKvV6I0A5XLZOT2xGOwxpv1/3ByrUEvb\nnn76aYyNjeGiiy7C17/+9Z50uyxznGiL3txvj019Y1VfWWaZZtl62759OyqVCk6ePBkJ1ZwSEsYz\np2lFqjtM0yqbnUVSnc3/R9FqAiP2aszdu3f3jEHGxsawefNmjI+Po1gsolAoIJfLRS+jymQyuOSS\nS1LlrV9H4hOnT5SugA0MIaxduxZbtmzp+UXptJgrc5LmPX2BK5eAAOC8887DqVOncOLECadohLGu\nVjh+2czcCoVCT1o+n48CQVqYWqTaGieh7+cojDNXza+M2V/Whg0bUC6XI4Hm83kUi8XIsupGExfN\n9TUAlyB9InWl2VHTyclJlMtlHDlyZMF5SOFW9xOxtN1oIQS2bt0aBWTq9Xpk4VzPZpriTPohX1uc\nuVwO1WoV9Xq9x33WQ49+GGVxjsSY08R8SgVqznF2djZqDK4xTqvVwje+8Y3EvF2BCBtbfK6xkyk2\nM31ubg5HjhyBVI9dXXbZZQvOiwuMJAV4bOsIABdddBHOPvtsjI+P47nnnsP09DROnjwZ3SvblbbL\ndgWiXHWx62X+cpkdcHJdm+u7GNWxpmbkLKfGdEOLxSLK5TLK5TLGxsYwMTGBXC634Mdn9S9o2a7u\nIHvnuECHy+pms1lMTk6iUChg69atWLt2bewLm+387Txf//rX47nnnkOr1epxLePq5cNlPfU9Na2p\nbTkzmQxOnjwZdY7mqiLfNbnmZ0dlrLlq3FobLaxcLofJyUmMj49j7dq10S82m7/6bL5OUr84641v\nfOPQXSefq5zP56PXOurXYepIb1e97d2emjHzNFnsJH7SmFMvDLHTjx8/Hk2pJLmyrusf9ncySHzi\nHMlorYn+YtvtNk6cOBG9ZFm/o9RcQqefRxRCRCteHnjgAdx///3ewM5S67WY4/Q+HfGs1WqLyt+3\noggea5Vm5RAsl9a1Yqjb7WLTpk148sknE68fjqHCqFjMJEbecpqYve3k5GQkUB3JLRaLPT2+3r75\nzW/2Lc7TLeJ+88QAl7yZUVvTrdX7zB890p1fNpvF4cOH+y5rlCymZtW6tS7ML3jNmjUoFosolUqY\nnJyM3C6zwenX+adtzGmmWPqh3zz6OX4p9TPP1eJzRWtdgs1kMnj22Wf7Km8UhYnVFK1NgxnRPXXq\nFKanp3Hq1KnoFf7z8/M9y8n6wRVNXWpUcbmEmTa/tMe5oslxEdt+6jCqwoxj5MecPvSXrf9WKhVI\nKVEoFJDP56Nobj6fXzDlYWMKwhxjpSWNoJZjrhPWuNM3NeSbn/WNQZPGm/bLqOOi1qM+XRLHqnRr\nXZg9czabjX50NpfLYXp6OtZV9f3vu7dxgZWkpXX9jHcH5bKmPdZ0YX0RXGH8ypn5hgO7TPPzqFtN\njjn7xFwKmISrp3ct1TPxidkWVb/BG1fHkCTUpM4m6TpNS+oSok+czz//vPd+rJaILCjOpdFvzx3X\n2JMs0mIWA/jOtxlkkMqHHRDSEVwzwKa3Y8eOLai7GJH1sv2wauc5Tye+8RMclkZjH59m1ZCrXDsP\nX4ewnMKEZbltK+4KlpmsJmuZBoozBf02aJ8baQaNkvKOC7rElecSgO16JrHUsaorGASHIFebhewX\ninOZcAkRjobvE0HSGNYXzfSV20+gaRDzsnEW1FVvspBVOc/ZL4txt3wN0RaZa4NDNK55xLgyF1Nf\nn4Xrpywzj7jthhtuWHRdVwu0nClxuYg2LusTN95Lmm5xuaJJltcXrXUd40tz5ZWUp3mO+Vud+g0J\n5q++0Wqmg9HaPkh6b+1iSGqoaSK7ZoO3PyNhDJmmfF8wy1cejOV8wnjCR2833nhjbJmrDUZrB4Ad\neRyEQH3zoXEW0bR6Plc3yYr76hIXyHId55uH9bnJtJrpoTj7wOXe2Wlp8jDxuag+9zWNW5hkbZME\nmoRvXAzrHrnEuZjfS1mt0K3tE71yKO1igjRRUt/8aD/5x4l+UCS5xy4La7q1APChD31o4PVa6fCp\nlAHRb0DDFwEVjlda2umu81zH+PIdNEu5dtnnkyiElnNRuAJDPhfPPM4X9YxbiGCTNmoaErqO5n0j\nL8KA0ACx5x591soWZNwKoX4WAyyXINOMm32R2zQuOOkPurWLQL/Zz4UrEOKamNe4XMW4xQb9LBTo\nl7RjXF9nE1dvLtXrH1rOJRJnFdPOLfqmKnzlxeWNlBYwLaZn4LrONNdLFgct5yLZs2dPqqiti5Aa\nsc/aJUWb0+SrodVcHBTnAHC5pYs9V7MUAac9N2m8vJQ6pYk2k3gYrR0AOgrZzxxgWnxzoHHlDaLc\nxdbL3EeLmQ7Ocy4zaaOcrv9drmXaNa9xS+N8oo4rNy1JlpUWc+nQcg6Ift455KOfcV4/i9t952oG\nbV3lKnsH0FKh5VxmkhpjXCdoT1MkkbTQPQnzCZFBRnVBYQ4UinOAxI2x0kyP2PgWj8OymK75037p\n91y7XF0fCnNw0K1dBlwijVsJdLowRWS7wa6VP/3WkQGgxcFXYw4B+4d8NYsZJ5oMKgrrWuvrqmcS\nFOXS4JhzCOhGa4/vfOtT0zIoqxsXcfVFeu36UpjLBy3nacJcj+tyHU/H85hJpHFn9TEcWw4OPpUS\nAPY61LinOvp1XQfh6qZZC7xYa0/6h5bzNLOYn3bQ9Cs+37lxQk4KXNGNHTwMCAWKdneTVvOYnE6X\nl2JcfijOwLFF6rJ6S3Vd+1mTyzHl6YPiXEH4rGkaliJgWsnhQHGuQJLeubOY9w65pnMoyuFCcY4I\nPsGmnZKhEMPDJ84FayStdZqS28rZdu/ePfQ6cOt/8+mPlpOQIcPle4SsMChOQgKF4iQkUChOQgKF\n4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQk\nUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChO\nQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF\n4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQk\nUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChO\nQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF4iQkUChOQgKF\n4iQkUChOQgJFSCmHXQdCiANaTkICheIkJFAoTkICheIkJFAoTkICheIkJFD+PzLLcVKOYxs6AAAA\nAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046434176144"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJyGBQnESEih/DwZFmCjQVasbAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIZ5CcRLiKRQnIZ5CcRLiKf8PHKmZncHcDcYAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046434051856"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nnikmekEAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046433628112"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAeyklEQVR4nO2dbZAc11nv/8/O6+7OSlpZWtmC0osd\nv8hJ5QUqIdwPhOJSBPiQOCROHBM7iu3EDo7t3OsKBSnCjOraJBfKxa1LsAFBIUiMFVPlxDFFTApc\nkAr+QPHihMSumIqsN0fa1UhaSTO7O6+HDz2ndebs6Z6e2Vnt2dn/r6prevt09znd2/9+nnPOc06L\nUgqEEP8YW+sCEELcUJyEeArFSYinUJyEeArFSYinUJyEeMpIiVNEvi8iP7vW5bgSiIgSkTesdTnI\n6jFS4lRKvVEp9Y8AICIlEfnyauYnIm8Skb8TkbKILOswFpE9IvK3InJeRE6LyBdFJG2kv1VE/k1E\nFjq/b13N8g4LEfldETkhIhdF5JiIfNZIu0FEnhWRMyJyrnN/bjTS/0hEKsZSE5FLMXkpEaka+/+p\nkfa/RORIpxw/EpHfN+/vemekxDlMEv6TGwCeBnB3RPrjAOYAXAPgrQDeBeDXOufPAngWwJcBTAP4\nCwDPdrb7zp8BuEkptQnA/wDwqyLyK520LQC+DuBGADsA/AuC6wQAKKXuU0oV9ALgKQB/3SO/txjH\n3GNs/zqAn+iU400A3gLgwSFcnx8opUZmAXAUwM8D+EUAdQTiqQD4Tid9M4IH6xSA1wE8AiDVSdsP\n4J8B/D6AswAe6SPfNwS3ctn2VwD8svH37wH44876L3TKIEb6cQC/mDBPBeANxnX9JYAzAI4B+C0A\nY0bZ/gnABQBlAF/pbJfOtc4BuAjgPwG8aYB7/mOdY389In1rp6xXOdImAVwC8K4k19mjHFcB+HsA\nj6/1czisZSQtp1LqeQC/g+BBLCil3tJJOgSgieCBfRsCgZhv4p8CcATBG/9REdklIvMismvAovw/\nALeJyISI/BiAXwLwfCftjQC+qzpPVofvdrb3yx8gEOi1CKzznQA+1kn7PwC+icA6/3hnXyC49p8B\ncEPn2A8ieClBRG4Xke/GZSgivyEiFQAnEYjsryJ2/RkAp5VSZx1p70fwQvlWj+v7Vqda8IyI7LHK\ncbuIXETw4nkLgD/uca51w0iK04WI7ADwywA+rZSqKqXmEFiO24zdfqSU+gOlVFMptaiUOq6U2qKU\nOj5gtt9CILaLCB7ifwXwtU5aAYE1M7kAYKqfDEQkheAaflMpdUkpdRTAYwDu6OzSALAbwE6l1JJS\n6tvG9ikANyGw3q8opU4BgFLqr5RSb47LVyn1hc7xPwHgS45rgYj8OIA/BPC/I07zUQB/ab2gbN4F\nYE+nnD8C8DdmlaNT1k0IXjJ/BGA2rtzriQ0jTgQPaAbAqY41nEfwlp0x9jkxrMxEZAyBlXwGgWXZ\nhsB6/d/OLhUAm6zDNiFw8/phG4LrOmZsO4bA3QSAX0fgwv5LpzX7LgBQSr0A4IsIxDMnIn8iInZ5\nYlEB/wFgEcABM01EtiOw2I8rpZ6yj+14Iz+LwB2Py+NbSqm6UmoewEMA9gLY59jvvwB8H0E9fyQY\nZXHab+MTAGoAtnWs4Ral1Cal1BtjjlkJWwHsAvBFpVSt49b9OQLrDQQP0ptFRIxj3tzZ3g9lXLaO\nml0I6rNQSp1WSn1cKbUTwL0AHtddMEqp/6+U+kkANyOwPJ/pM29NGsB1+g8RmUYgzK8rpR6NOOYO\nAP+slDrSZ14KwcumZznWO6MszlkAezoWDB2X7ZsAHhORTSIyJiLXici7Bs1AAvIAsp2/8yKS6+RX\nBvAagE+KSFpEtiBw43Rd7h8BtAA8KCI5EflUZ/sLnXPtF5GjvcqglGohaDF+VESmRGQ3Ajfyy53z\n3NpxLwHgPIKHuy0ibxeRnxKRDIAqgCUA7QTXPCYi94rIdOf63wHgfgD/0EnfBODvEAjvN2JOdSeC\nNoC4vN7Y6W5KiUgBgbv+OoKGNojIPSIy01m/GcBv6nKMBGvdIjXMBZ3WWnW59e7bCB7If+9s2wzg\nCQT1vwsA/gPAbZ20/QC+bZ1vFwL3c1dEfnsQPOzmctRIfysCEZ5HYOGeBrDDSH8bgH9D4Bb+O4C3\nGWmfA/BkzLWarbXTCMR4BoGH8Nu43Fr7uwge6AqAHwL4RGf7/0Twoqh0yvYkgEIn7VcBfD8iX+2u\nn+sc+yqAz6LT6ozgBaQQCL5iLLuMc/x0J33Kcf5vAPhsZ/3nAPygs+8cgvr69ca+f47gJVzt/O9/\nD0B+rZ/DYS36hhLPEJFvAnhIKfXKWpeFrA0UJyGeMsp1TkLWNRQnIZ5CcRLiKbHB3a6RFoSQ4aKU\ncvbb0nIS4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGe\nQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES\n4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikU\nJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGeQnES4ikUJyGekl7rApCV8eijjyKdTkNEMDY2\nhrGxMYhI+PeDDz641kUkAyJKqehEkehEsqZ8/vOfRyqVwtjYGNLpdJcw7V8RwT333LPWRSYRKKXE\ntZ3iXEcUi0VkMhkUCoVQmC5xuqyoiCCbzaLVauHWW29d60shBlHipFu7zhgbC5oJ0ul0KFBTqKbF\nTKVSXcLM5XKIexkTv6A41xEigna7DZHgRastZpQ4s9ksMpkMMpkMstksRAStVmuNr4IkhW6tpzz3\n3HPYvn07UqkUlFJot9v4xje+gVwuh4mJCUxOTiKdTiOXyyGTyXQJVS/5fD5c18Iul8uhePX/vl6v\n433ve98aX/HGhXVOz/nSl76EG264IRRjrVZDq9UKrWS73Ua9XseLL76ITZs2oVAoIJ/Ph2LVbm4m\nkwnroXodAFqtFiqVCubm5rpcW6UURAS5XC50gc+dO4e77757Te7DRoTi9IinnnoKe/fuxdjYGJaW\nlpDP57Fz505kMhk0m00cPHgQuVwu7CIBEApHr8/Pz2N8fBxTU1OYnp4O989kMl2WstlsIpVK4Yc/\n/GFkebTwJycnAaBLvOPj48jn86hWq2zxXSUoTg84dOgQ9u3bh1arhXq9jlQqhV27diGdTuPgwYNh\nPVG7qEC3KG0uXLiAbDaLzZs3h66ttqDpdBo333wzzpw5g5dffrlL2OaviXafdb1UKRUKNZ/PI51O\nI5/P44477hj6vdnIUJxrzIsvvggAWFpaCuuKExMTeOaZZ8KGG+CyGKMEaaKUwoULF7Bly5ZQPFqc\n4+Pj2Lp1K15++eUuoZt5mNtc526326hUKl2WVAv0/vvvH/xmkC4ozjXisccew9vf/nbU63UopTA2\nNoaJiQk8//zzGBsbw+TkZKRo7P+NFoy2aEopLCwsYOvWrchms+GSyWRCF/Xo0aPLAhJcwowSabvd\nRrvdxtmzZ9Fut8PtO3fuhFIKH//4x4d3szYoFOcacPDgQezbtw8LCwtoNpvIZDJ49dVXUS6Xwy6O\nVCoFIN591UJstVqhQJeWlsL0mZkZTExMIJ/PI5/PhwIdGxvD0aNHw+N6uba98hcRnDx5MlyfnJzE\nzMwMPvrRj674Xm1kKM4rzKFDh7B3714sLCyg1WrhxIkTmJ2dDRttdGNPlBtrt6hqcbbbbdRqtdCK\n6cakiYkJjI+PI5fLhd0rrVYL5XIZtVotPEZb3qTYFlyvHz9+PCzz9u3bMT4+jrvuumvg+7WRoTiv\nEE8//TS2bt2KxcXFUJSXLl0CgC5RAr3rly5R6ON03TKbzaJQKCCXy3VZTLO1ttlsotFohOvNZjM8\npz6v/Wvm5fq7Xq9DRHD8+PEwbc+ePdi/f3/f92yjw/C9K8T09DQqlQra7TZef/11XLx4Ee12O2yw\nset8ceJ0uZ9aeFqE+ldbVgBdXSnaUpoxt7ov1Vy0hUzSEKX7RWu1Gnbv3o1jx44BCOq3ZHhwPOcQ\nKZVKqFQqaDabOHnyJC5cuIB2u70svC5q5Ii56P3NRddRdVeLaYW1ELWVNC1lq9Xqqne6zh1XFrtc\nOm53YmICIoI9e/aE9+ArX/nKGt390YPiHCKZTAaNRgOvv/465ufn0Ww2u2Jfez34LuHYwe3anTXr\nglp8WpSNRgP1eh31eh2NRqNLmEnzj9tu/o6Pj4cC1XkcPnx4jf8To8GGdGsfeeSRSOvh6r4AgIcf\nfjj2nKVSCTt27MDc3BwuXboUWkxTXK5ujKjuDJf76xIHgK7uFe3O2ueLqlPa+yVJM/MWEeTzedTr\ndVx77bVot9thny1ZGRumQahUKoUtmVEzB5jYD7b5cGsxmL8XLlzA9ddfj3K5jPn5eSilkM/nQ2Ga\nDTXm+e0AAb3u6vt0WTXXNvs48zrM64lqcLIbn2y0W2uma3e63W5j8+bNqFaruP322+P+JaTDhm0Q\n+sIXvtDVvaBbOu0HO46oFk39e+TIEQDA/Pw8arVaV93OrG+6xOlqFIoSWpTgTKvpsshR9GqIcu2j\n87D7Z80A+3Q6jUKh0DN/Es9Ii7NUKmF8fLwrekY/WLaraBPnEupfM2IGQNj4Yp8n6gF3rZvbev1t\nls92yW2x9kIfH+dBAFjmUpt/61ZpfX8PHz6M2267LVH+ZDkjK04tzPHx8a6g8LiGGaB3YLi9/p3v\nfCfcputbtVot0tr1El3UPubxrvUoknaP2PlHbTdfaOa6UgqpVAq5XC4Ubi6XS5QvcTOy4gQQdsyb\nnfI2WmT2Q6e3mZbWVT80WVxcDF8Grrx0fklfCnGi7ockAk3iyrrmKDIbpXQDmD4mm832Vc5hUiwW\nUSgUMDMzg5tuugkiEo4GarfbYf1Yh0I2Gg3UajXceeeda1Zmm5FsECoWi8jlcti0aROmp6fDYVC6\n369arWJpaWlZOJsZYWPWFXUjku7G0Mv3vve9rnxFBFdffTXm5+fRaDRCi637J6P6E/Wx9m/ctl77\nxq0nSY+zli5xtlotvPbaa7jpppvCgIhms4lKpYIPfvCDCf5rw6NUKmFmZgaZTAbXXnstJiYmwnp5\ns9nsasjTfcM6NFJ3S7XbbXzoQx+6IuXdUA1CIhJaTX3z9RtyamoK991331DyKZVKXX/rUSJXXXUV\nyuVy10NgRwfZ5Y0Tqb2PK90swyBWMkqcUUEKZr1dKYWzZ8/iuuuuC+ueOu1KW89SqRQOAEin0zh9\n+jRarRb27t3b9TK2l1arhWq1inq9jmaz2bd3shqMpDiB4OEqFArYvHlzOFRLBwmsJktLS1BKhfGu\nFy9eXFYu2wLp7fZvEsGav1Hr/WxzWUfXNu2+njlzBtu2bcPu3bu7qg76nl8JceqX5MTERDgAYHJy\nMhz5k06nsbi42BVdZV6PfoGmUikcPXoUDzzwwKqXOQkjK05NLpdDKpXC9ddfj2PHjmFhYWFo53ZZ\nKW2ptUWZmJgI39h6m8ulTWIp40TWb5qd3isqyOXKnjt3DjMzM6HLHhWFtJqUSqVwjKyeUsWcddAU\noxZhs9kMrWWr1cLJkyfxiU98YlXLOQgjGb6n36R61EY2m8XJkychEvRxDoNisejcbtdv9Rw+QHR0\nTpTlsut7rv3tX9e57DQ7PDBq0fvo+rY5V26j0cC2bdu65iyKqqc++eSTK7/hEaRSKUxOTobjWc1u\nM9dk2/p/UqvVUKlUcOrUKS+FCYyw5bx48SK2b98O4HIfHhBMs/Hss8/ive9974rOH2URtJU0l2az\niXw+Hz4c5jmiRDSIS+raFiXOKCHZi+0Gzs7OYnp6GhMTE6EFte+LPbB7tbpUisUiJicnw75sHWyS\nzWaXBX8AwctRxx2fP38eH/vYx1alXMNiZMVZKpXwxBNPhBEr5oO0Gg+LFr85fMt8yFutVljnERFU\nKhVMTU0lFmcvi6lJajl7idO0rCKCubk5bNmyBVdffXVXnVNfu2scqF5Wo95ZLBYhIqEra0aB2Zbf\nfFHOzc2tmzGnI9mVoimVSnjHO96BqampsL9TqWBO2KWlJVSrVdxyyy0DnTcK05UyF905b7/RtZvd\narVw5MgR7Nu3LxQHkFyc/bi2cd0ix44dw+TkJCYnJ8Non7gwR7vV0/YaWq1WeL/f//73932vXej7\nXygUwlkY8vl8Vx3TrF+Wy2Wv+i9torpSRrLOqSmVSqhWq13TeuiHMZvNIp/P4/HHHx/o3Emm+jAF\nYD+0dkxsNpvFvn37ACDs9qlWq8vEY45yiasraivda8lkMjhx4kQ4c8Pu3buxfft2FAqFsGHFNeTN\ndZ1R1z5M66nr+rrBR39qwi5jq9XC4uIiZmdnvRZmHCPr1mrOnTvXFSmkH2ClFHK5HPbs2dPX+fRb\n23wYTZc26gHW2MO5XIHrutvHPIeObtF9tmZ9Os411supU6dCQeoZ4rXV3r17d9dgAJcVToJ5XFQk\n1EoolUrhvdIvDv1/NRcdbHDp0iXv65VxjLTlBIBTp051RQTp/jdtWXK5HJ577rkV5eESQ9SDaYvS\ntKL25Fum1dQjPaanp3HVVVc5g/Fdw9r0snPnTuzYsQPbtm1DoVAIG1HMWQDNVteVisn1oljJLAnF\nYrHLy9ANQHbUlr7+SqWCj3zkIyu6hrVm5MVZKpUwOzsbCrTVanW5iJlMBvl8fsUC7UVUvdCsp9nr\nLqvqcnP1i8ZcN4P9zVng7caSJEPm+r1O13XrxpuVnlvX3/VidvVoi30lQ+9Wk5EXJwB8+tOfDmco\nqNVqAND1cOv6Zy/iGoL6tZzmMRrbCtoi7YWdZ6964moR1WC1kjz1sZlMpqvLRPdnamEqpbrm9F3P\njHRrrU2xWMQNN9yAvXv3hnU6M9h5YWEBtVotMoQrTpym++lqrXV9Q9PsqnBF4tjbbbczSoRx4tTb\n9brLmke9TEzixrjarrqex6jZbPb1uUH7fo+Pj6NQKKBQKIQRQYVCIfw/NhoNnDt3bt2NId2QrbU2\nBw4cwKuvvopqtRo2rOiHVbu4uVwOe/fuTVQ/iuvbi7OgcRYkiTB8J861dQUuuNCNPxo7yEDXlXVe\nrVYLly5dWnfCjGPkW2ttDhw4gMOHD6PdbmNqaqorQMGehf2rX/1q7Ft+kFbNOOsUJ8xe518rIWt3\nMmp7lHWOwgyLNL0I/eK0G7GAQJjD7Ef1hQ0nTgB45ZVXcOONN4aTUWlRmlEv+kH62te+hltuuSXW\npTVJYi37FXUvS5vEIvdDP7MnmOVweRJJ5jbS0T62dbWDOMwPNenGLR2NValUBrxaf9lQdU6bQ4cO\nYfv27diyZUtXpI5e9Ixy1Wp12cBqjZ6eI2md06wL9lvnTLJu1y171Tn1r/2i6OVeu6ZscTVimXV6\nHXR+4sSJ8N7ac+rq8+guL30N+kve5jdh0ul0KMz3vOc9gz0EHsA6p4P9+/fj5MmTOH/+POr1OoDu\nVtx0Ot2zJXcQC2Mf148oBsnzShIlcvMFcM0114SNOuYYTNs66sU1FEy/1BqNxrIxs6PChnRrTe69\n914AQQPEO9/5ThQKha7+QN0vGkWSRqBeD6y93V638+rFoOKNcmdX6ubaFn5sbCwMD9RWVedjWl/d\nSKf7os06p0gQovfud797oGtdD2xoy2lSKpXwgx/8AOVyOZzNQOTy17wA9+gLF1EiStpKO0h6PyS5\nBnsfOygiCVH3QM86YM6xZMb66rA804pqYZp9mubwu1GE4jR46KGH8NJLL2F2dhaVSiV8o7/wwgvh\nPkkbZ5Lsu5EwPQgz3M4Wpg6p1MO/9DZTmADC0S6jzIZ3a210q+wTTzyBa665Bps2bepKN1013WgR\n52722yWyWiR1TQdxYePQ98a0tuaHmFwtuWb+poBNYTYajfC7p6MKLWcEn/zkJ/HSSy/htddeC7fZ\nLYr9PMSrta+LpG6nK2h+kPMkxbac9tA17c6ajUF2sIF2ZyuVCj784Q8PtXy+saG7UpKSJGzP7Epx\ndZvYQ7L0r2uspNmFELctaVeK/tvVQOVqnErqmmtskduLngdWd6uYFtCc/MzlZZgz5gEI5x1e6TQz\nPsGulBVgjiN0EdUqa6a7/h62i2uX0VVmOxY2aVpcnknRrqxZ37QDC3SdU7fOmi2zCwsLOH369EgJ\nMw7WOftgpWJayfG9RDBoXbHXcXHpg7i9rigiOxDf7LrS+9frdVSr1XU/RrMfKM6EDPLgX6nGn9Vo\n7DH3TXLcIN0zGpfnYVp9PW3LrbfemqjsowLFOQSG3XDSb979vgR6WcOoQASgeyaHQehVn7VnhND1\n1Lm5uYHyW89QnB4S9eBHjf6I2tdMc4lOb7OF1+uYfsrucmN1A5DrWDNKSM+e12g0wkiujQTFOSDD\n7A8cdt+i7ZICyYVn9j8mzctetyOJ7L/t75eax7fbbdRqNTQajZGYamQlUJwDshYd+knoVVdMYlHN\n7VHi1vu41l37mUJtNBrOrhsdZ1sulzekpbShOFdIP90PgzbI9FOWJC2vq1nnjHNrtWVcWlpyWs6N\n7MK6oDgHpJ8uCNcDa4e0JbFycXkB8dZ8Neuc9gvK5dYCl+cXWlhYcFrOcrmMhx9+uOf1bhQYIdQH\nZqSQ+UCb003qL2Pb0UCuCb70sa5on6QRQsDyyaxd23VZk0QI2dvjcAU92A075mDrer2O48ePY2lp\nCZ/5zGdW8u8YGaIihGg5+8S0Jq4+OXufuOP7SY+KUIqrL+p1u6ymaxtVR3VZd7uuaudpltPup9TL\nRonuGQYM3+uDUqkUKUzTUtgPpyZJy6a5rR+izuM6Z5QbGrfuyqPXtZuWs9FojMx8slcKirNPtGsb\nV/cy/44TaZx4zePjiNonTqRRZeglbJdVtMsQ59aO2ux4qw3FOSCmBY16ODUuq2Wmxf1tnzNKIK68\n7PNFlSEqLemLIU6YeqlWq7HnIsuhOAfANYTM/ghR1INrprvWXX8nIakb7UrvZU3jXgxJhLm4uIjb\nb7+972va6FCcQ8Kuc5nbk1jRpC6xK99hubX29ri8o148tjDb7fZIzil7JaA4B8T+XADgtjJ2Wtx+\nUYIc1K2NstZRVs/eLy5vV5otSv39kvX8jcy1hF0pQ0Q3frjEoz/qGiWQdrvtHMdoEmXJorbbXSG9\nUKp3TK5ddlucenaDZrOJpaUlfOADH0icP+mGlnMFHDhwYNnD7/rKlqt7Jcol7GVFXSS11K59+/nb\nFqLLYupuk3q9TmGuEFrOFXLgwAEA3V0s+oEFLlsv+29X+J6Z7rJi/VhIOyzPtoTm/nEBCzYu0Zof\n/q3X66E4ycqg5RwSWpzmpFUuy2lamUHqpknqnv1YzajtUfXJqLqlaTHr9TpbZ4cAxTlEdASRWfeK\n+5y8nT4Mt7YfdznJ0kuUun6pRXnx4kUKc0jQrV0llArGLeqvl+nP1Wn3FrjcSKQbg8xfO8hBn9NF\nP25t1P5muaO22QLXwtRLo9HA3Xff3fvmkERwVMoqYQcqZLPZcA5Wc4RK1CcAo7bbI0uitgNYNm+t\n/k06+sQWpWlBTUGePXsWn/rUp4Z7AzcQKmJUCsW5ipgCFbn8USRToEknm+41qbTOI2rR6a5fe93E\n5Zbr/stKpYK77rprNW7dhoLiXENMkZoC7fWx3V5jPKMsJ7B8Plj7t5cwteuq+23tema5XMb999+/\nWrdsQ0FxrjHFYhFA9+BsU6SuzzrY1tIemB032Lofq2ljNlCZDVvaYrJuOVwoTo8oFosQkfATBL3E\n6bKm/bi1Oi0Jdt+lWbes1+u47777Vu2+bFQoTk+xLap2e/V0J0nFaQvRFG0vzGdA91dqQdJ1XX0o\nznWAWTfN5XJd7m9ScUZZThNXn6d2XynIKw/Fuc7QQrW/Au0SYlRLrracrsACe/2BBx5Yw6vd2FCc\n65xisYhsNuu0jHEW1RX1s7S0hHQ6zdnvPIHiHCFM99f+YG+1Wu1ydTOZDOr1Oj73uc+tXYFJLBQn\nIZ4SJU4GvhPiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQn\nIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5C\ncRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLi\nKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQn\nIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5C\ncRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLi\nKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQnIZ5CcRLiKRQn\nIZ5CcRLiKaKUWusyEEIc0HIS4ikUJyGeQnES4ikUJyGeQnES4ikUJyGe8t8EbUprEQVF0wAAAABJ\nRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCsVJiKf8P8ZamgYBgyMkAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046433023312"
      },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD3CAYAAADmIkO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nk5BA+f8EUo6wXcG7tAAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAOcAAAD4CAYAAAAXdPFuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nOAkJlP8HtUg08UdcRyYAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140046419917008"
      },
      "output_type": "display_data"
     }
@@ -838,6 +841,18 @@
    "language": "python",
    "name": "pytorch3d_local"
   },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.5+"
+  },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
     "02acadb61c3949fcaeab177fd184c388": {
diff --git a/docs/tutorials/render_textured_meshes.ipynb b/docs/tutorials/render_textured_meshes.ipynb
index 1a87998b..6f05940d 100644
--- a/docs/tutorials/render_textured_meshes.ipynb
+++ b/docs/tutorials/render_textured_meshes.ipynb
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -149,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": 62,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -213,7 +213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -247,7 +247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 86,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -258,18 +258,6 @@
     "outputId": "48987b1d-5cc1-4c2a-cb3c-713d64f6a38d"
    },
    "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(-0.5, 1023.5, 1023.5, -0.5)"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {
-      "bento_obj_id": "139672598358448"
-     },
-     "output_type": "execute_result"
-    },
     {
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAGKCAYAAAASfgYQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAgAElEQVR4nOzdd5hcdfn38feZur1na3bTeyM9BAIJ\nPdQIgiCIoAgWREXkh2BB8UFUEBWkiEjvxGCEQOihpCekZ1M22c32Ottmp5/z/DEhpu1my8ycMzP3\n67r2gi1zzr2b3fnMtyuapiGEEEJ0x6R3AUIIIYxNgkIIIUSPJCiEEEL0SIJCCCFEjyQohBBC9MjS\n42cdtTIlSggh4kVmgXK8D0uLQgghRI8kKIQQQvRIgkIIIUSPJCiEEEL0SIJCCCFEjyQohBBC9Kjn\n6bFCiKigqiout4cOp5MOpxNNDX48JTkRu91GcmIidpsNRTnu7EcheiRBIUSU8gcCNLU42LlnH1V1\n9RyorqGtoxOv13foaywWM3abjcz0NEqKCijIHcTIoSXkZGZitcqfv+gdpcdtxmXBnRCG4vF42LRj\nFx+vXkdDUzNdLne/rmO32UhPS2X6pPHMmTqZrIwMLBZzyOsVUaabBXcSFEIYnKZp7N5XzhvvfkhN\nXQNen68Xj+o9BUhITGDWlImcc9opZGWkh/T6IorEW1BomoY/EMDr9eH1+VA1FQVQULDb7dhtVkwm\nk/TZCkNztLWzdtNWlq/4jC63h3D+tipA3qAcLrvgHEYNLcFus4XxbrFGAaL26fJ/Yj0ofD4/VXX1\nbN25m6q6OqpqG3C6uvD7AmiaduifUEFDMZmwWa0kJSRQXJjP5HGjKS4sID83B6tF+m2F/nx+P0vf\n+4iPVq4lEAhE/P7JiYl8fdEFTJs0PuL3NjpVVenodOJo76Ciqoaqujo6Op10OLvwer0oikKC3U5u\ndhYjhhSTnzeIwtxB0RG8sRgUHq+XDVt38NHKNTQ2O/B4vQO6XoLdxpgRw5gweiTTJo4nOSkxZLUK\n0RuaBp+sXse7n66kpbVN73KYPXUyF5+9IO67o9o7nWzeUUpp2X727KvA2dWF2odjpK0WC4X5uYwZ\nPpS5M6aSm51lzN6MWAqKgKqyeccuVm/czI49ZaF9xaWB2WxiyOAiFi44lXEjh2M2yyCfiIwtpbt5\n8qXFIR+H6C9FUZgwagTfu/ZKTKb4W3bV1tHJ7rL9vPfZKqrrG1AD6oCvmZmexikzpzFl3GiK8vOM\nFRixEBQBVaWsopLnFi+lqcURkXump6YwedxoLjprAakpyRG5p4hPqzdu5tnFS+nxb1InZ8+by6UL\nz9K7jIjQAEdrG/9++z027dhFwB8gLINDikJudiYXnTWfsSOGk5KcFIab9FG0B0Vrezt/e+pF6hoa\ndflDslosnDXvZObNnE5mRlrE7y9iW3lVNX967ClUdeCvWMPBYjZz3523kpwY292xbR2dPPHS65RX\nVkd0bMhqsTB3xlQuPnsBSYkJEbvvMaI5KBpbWrjv7//s95zxULJaLFx58fnMnXGS3qWIGNHQ3MLD\nT71AY4Rayf2jccu3vsG4kcP1LiRsyioqefjpF3F7PLrVYLfZuPicBcw+abI+Y6TRenCRs8vFv5e9\nb4iQ4OBslNfeWk55VY3epYgYsWd/hSEGrnuiacHf/Vjl9wd48Y23dA0JDk7QWfL2Bzz16hK6uly6\n1nI4wwfFS0vfZtOOUr3LOILb4+HPTzzD2x99qncpIgZ0uVx9mkGjB5PJRGHuIL3LCBONj1atpaa+\nQe9CAPAH/GzfvZdf/flhyiurDTFmZehFA35/gO27dutdxnH5fD7e/GAFs06aRHZmht7l6Mrn89Hh\n7KK8spqyikpa2tpo6+hA04KzZpIS7ORkZVFcmE9uThYFuYNITkw01mwPHc2eOoWtO/ewp7xC71K6\nNay4iJys2Pw9DwRUKmvr9C7jGM4uFw888TSnzZ7J5Reco2sthg4KVVMJhGA6Wrioqsre8gNxGRQa\n4HZ72LFnL6s3bqG2oZG29g78hw0Aahw+WaQM08GFjjlZGUwaO4rhQ0oYWVJMQoJdp+/CGNJSkrnk\n3AX85Z/PHfHzMwpFUThv/qmEZ+qP/sxmMyNKBrNu01a9SzmG3x/gs7UbOHveHDLS9JtEY+igsFmt\nFOblUlFt3PGAxuYWvUuIKL/fz4atO3jn489ocrTi8/u7ffo4+uOqquL2eKiqraeqth5NA6vVwvCS\nwUwZN4Y506boO+NDRyOGlHDLt67hkWdf1r2f/HCJCQmcf8ZpTBo7Wu9SwmrujKm8+4kxFjkezevz\nsXL9Js4/4zTdajD8rKeq2nr++dLr1Dc1613Kcf385u9QUligdxlh197RyZLlH7CtdA+dXV1huYfV\nYmHOtCmcMnMqQ4oKw3IPo2tr7+DxF16loroGVdX3zy83J5sffeuauFmV3dDcwr0P/WPAOzyEw3eu\n+mpktlOJ1llPRfm5XHLuGYbsz87OzKAwL1fvMsJK0zTqGpt47PlXWL1xc9hCgoMzyj5bu5FHn32Z\nLTt3BafaxJn0tFS+8/XLOfe0U7DotCOAoijkZGXynasui5uQAMjNzuLseSfrXcYxLGYzI4aW6FqD\n4VsUX9qwdQdPv7rEMH2440YO56pFFzAoK1PvUsKmraOTJ158jf2V1bosBJs2cRzXXfGVuN2osbW9\ng9ffepede8siNj08f1AOV3/lQoYWF+kWVHr7ZM163vpgBe2dTr1LwWwyccapc7j0vAitio/mBXdf\nqq5r4M33P9Z9uuycqVO45tILY3oPqB17yvjHi6/h8ejbDB9WXMQ1l14U8y23nvj8flZt2MTyFZ/T\n2t4e8i4pq9VKQW4Oi849k7Ejhhmy9R5pTpeLR599mbKKSt1qUBT42kXnc+qsaZgjtc9WLAQFQJfL\nzdOvvcHW0shPm7VaLUwYPZJvfvUSEuyxO1On2dHK/Y8/TWt7u96lADBh9Eh+cN1VKDE666Y3NKCh\nsYktpXv4eNU6HG2tA+6ZM5lMFBfmc85pcxk1dIjsZXaU5tY2Hn32JWrq9dk2aNSwIfzw+qsj26KO\nlaD40q595Xy0cg1bdu4O+z+iyWRi8rjRXHnxQtJSU2P66WrVxk0sXvY+zjCORfTHnTd/h+I4mDTQ\nG5qmUd/UzL4DVaxc/wXVtfV4fL4T/h1YLRaSk5MYM3woJ0+bQmFeroTDCQRUlbLyAzz16hJa2zsi\nck+7zcbsqZO54sLzMJsjPIwca0HxpfqmZl5/azllFZW43KGdVpiaksyZp8xh2sRxDMrOCum1jaiy\nto4/PPJPQ65dueqS8zlt9gy9yzAkv9+Ps8tFTUMDB6rraGltQ9M0TIpCdlYGmenpFOXnkp2RgdVq\nka6lfvD5/Lz90aes2rgprIExbuRwrrt8EWmpKWG7R49iNSgAPB4v+6uqefP9j4MDrwF1QGuDbDYr\nE0aP5Lz5p1JckB83f1j/fOl1NmzdoXcZx9CA6y5fxJypk/UuJSqoqnbw91/DpBh+YmPUCKgqVbV1\nvLDkzeBK7hA+O5rNJmadNIlLF55Dip4HpsVyUByuvbOTisoaPlm7gbKKStxuN6oWHBg6HgWw2+2k\np6Vy0vgxzDxpEjmZGdFxbGEItXc6ufO+BwkYcJtrq8XCvXf8RN8/ICEO0jSNveUHWP3FFtZv3orX\n1//NEgdlZXLO6acwacwo0tNSQ1pnv8RLUBwuEAjQ0tZOc0srlbW1NLU4CARUEhMTyMnMJDMjjaK8\nXNLTUuN2KuCXyioOcP/jTxlumwa7zcZXFp7F6dLtJAzI5fGwfvM2tpbuZve+ih4X6ymKgs1mpSgv\nj5OnTWbksCHk5WQbq8ciHoNC9F6zo5Vf3f+QoXYxtVot3PKtaxg5RN/FRkL0hs/no66xmf0Hqmjt\n6MDv92Oz2UhNTqYgL4e8nBySEhOwWi0h7bYKqW6CIj5XMoljZKanU5CXS3Vdvd6lwMF2zcL58xhR\nUqx3KUL0itVqpbgwn+LC/CNmoB3TYjBqSPRARroEACaTwo9v+IYhVponJSbwg+u+zsIF84zVLBei\nlxRFOfQWC6TrSRzB4/Wx5ostvP7W8oifaGazWrnknDPiehdZIXQlXU+iN+w2K/NmTUXTVJa880HE\ndtJMTkrkq+efw6ypkzHFyKswIWKFtChEt1xuN8tXfM76LdtpdrSG/PoKUJifxxUXnsuw4iKsVmvI\n7yGE6AOZ9ST6S1WD88aXffQJlTW1A97JNDkpiVNnTmXaxHEUFxbETD+uEFFPgkIMlNvtoaahkU9W\nr2fb7r243W4CgUD3qxkPoygKmRlpDB88mDPnzaGksABTpHbEFEL0jgSFCCVVVelyu6moqqF0734a\nm1toaG6hy+1CU4OzqDLS0hhWXERxUQFjRwwjIy1VWg9CGJkEhYiEHuePCyGMTWY9iUiQcBAi9kgn\nsRBCiB5JUAghhOiRBIUQQogeSVAIIYTokQSFEEKIHklQCCGE6JEEhRBCiB5JUAghhOiRBIUQQoge\nSVAIIYTokQSFEEKIHklQCCGE6JEEhRBCiB5JUAghhOiRBIUQQogeSVAIIYTokQSFEEKIHklQCCGE\n6JEEhRBChEqMHgUsZ2YLIfrM4/Xi8Xhwub2kpiSRYLdjMsXH685mRytfbN3O3v0VlO7dR2t7GwAm\nk4mhg4s4Z/48JowZTWpKst6lhoyiaVr3n3XU9vBJIUQ88Pn9VNXUsWbjJnbv28+uvWU0t7Ti8/tR\nNQ2r2UJWZjo3XP01zpw3FyUGX1V7vT5e/e8yPvpsFeWVVQRUlZ6+y8SEBO6541amT54YwSpDILPg\nuN+WBIUQ4gga4HR28dna9Sxd/j6V1TV0Ort69dhTZk3n1z+9BavVGvY6I6WpxcHNd/6a+oamPj0u\nKSmRxU8+QoLdHrbaQq6boJCuJyHEIW6Ph+UffcLHK9ewrXQ3fr+/T49fuW4j/1n+PosWno3FHP1P\nL16fjxcW/6fPIQHQ5XLT1OxgcGF+WGqLpOj/lxRCDFggoLLk7eU888q/6XQ6+30dTdN49OkX2LF7\nL7/8yc1R3w1VfqCK9z/5vNvPa5rW/feoaQQCgfAVF0ESFELEuTUbNvGPF15mX/mBkFxPVVU++mwV\nk8aO4SvnnxOSa+plUHYWxYX57NxTdsTHL73gXE6ZOQNnVxfPvLqY/QeqUFX1iK9JS02hMD83whWH\nR3xMUxBCHJejtY0/PfJEyELicC8uWYrL7Q75dSMpIz2N737zagZlZ2EymTCZTMyaOoWbrr2KaZMn\nMO/kWdx7521cc9klx4zLzJ87J2bGamQwW4g49uNf3sPm7TvDdv3TTp7Fbd/7TtRPFVVV9dCAfmpK\n8nG7m5odDl5b+jYVVdWMHTmCa756CWazWYdqB0BmPQkhDtflcnHJN2/q84B1X500cTwP3H1n3Kyz\niGrdBIX8ywkRp5QeVwKEzpYdpXyxdUdE7iXCQ4LCwNSeWntCDFBiYgJjR40I+31UVeWu++5nV9m+\nsN9LhId0PRmIy+1m1bqNbNi6nW07S3G63BTm5TJn+lQuv/h8rBaZpCZCq6nFwQ0/uYO2jo6w32tQ\ndha/v+t2RgwtCfu9RD/Jgjvj8vl8lFdW8+SLr7Jx6zZ8vv/1GTe3ONixey8er4/rr7xM1zpF7MnJ\nyuS7113Nv158jcbm5rDeq9nRysat2yUoopAEhY78fj/LPviYp156nbaOdrpr3AUCAZ59dTHpqSks\nWni2DAqKkDpvwWmcNmcmt9/zB7aX7g7bfVRVpbK6JmzXF+EjQaEDp7OLf738Op+sWkNjs6PXOxM/\n9uyLmM1mLjnvrHCXKOJMUmIif777Ln76m3vZtnNXeG6iKKQkJ4Xn2iKs5KVpBKmqyoHqGu6+/6+8\nsWw5TS29DwkOdlH955336HFcSYh+stms/Pg714dtkZjVbGbE0CFhubYIL2lRREAgoLJq/Ub+8dxL\nVNfVH7PUvy/2H6ikdO8+xkVgtoqIPyOGlvDT797AX594KuSrqieOHc3saSeF9JoiMiQowqipxcEL\ni99g1bovqG/q++6T3Xlx8X+4545bQ3Y9IQ53zvxTUdD4/UOPheyaJpOJW264TrqeopQERYi1dXSy\np2w/zy1ewvaduwkMoPXQnfWbt+L2eKJrn3sRNRRF4ez5p/LK0mXsqwjNHlDXX/lVhpYMDsm1wq2m\nrp49+8opqziAyWQiNyebGVMmkZuTrXdpupGgCIGAqtLpdLJ6wxe88fZ7VFTW4HK5CNfCV4/XS219\nI8Oi5A9PRB9FMXHJeWfx4OP/GvC1BhcWcOn554akrnDSNI3P1q7n0adfoKnZgS/gAxTMJhODC/O5\n5/ZbKS4q0LtMXciCu35wudxU19VzoLqGz9eu54utO+jo7MQfwb3nv3H5pVx/5WVRv9+/MC5/IMC1\nP7iV2obGfj3ebDZzw9VXcMm5Z5OYmBDy+kJJ0zQefPxf/PfdD7r9mkHZ2fz+rp/F9joQ2RRwYOoa\nGnn9v2+zafsODlTX4vP5dK1nxNAh3H/3z8lIS9O1DhHbSveU8ds/P0RtfUOvH2O1WhgxdAh3/PC7\nDBlcFNb6QsHj9fL0K4t5ecl/T/i1X73ofH5w/TURqUsXsjK7fzweL5u27eDvTz1HVU1tcFGcAV7E\nNzQ1U9fYJEEhwmr0iGHcdO3XuefPD53wtDZFUcjPHcTVl17C3JnTyMxIj1idA/Hp6nUsXf7+Cb9O\nA6pr6yJSk9FIUPRgz75y7rz3TzS1OP73QQOEBICzq4vN23YydsRwvUsRMcxkMnH6ybMY9pc/8PQr\nr7OvvBJHWxtoYLPbyMnKZNTwYYwaNoRZU6eQm5MdVd2hrW3tPPDYk7h7ORW4pbUt7DUZkQRFN9Zt\n2sKd994f9r36+yugqmwt3cXXLrlA71JEHCgpKuRXt94CBxeOcrAFEU2hcDx/evSJXoeEAgM6Tzya\nSVAch8/v55GnnjdsSHypqblF7xJEHIqVvcaaHQ42bNrap8d4vF40TYv6gOyr2PgXD6FAIMDTL79O\neWWV3qX0SDm4s6xs5yFE3zU1t/DbBx7C4/X26XGdTucRuzvHCwmKo6zfvJUly97Vu4xe6XK5TzjA\nKIQ4UktrGz/65T1s2VHa58e63R72H6gMS11GJkFxlPWbt+LyePQuo1dULfSrvoWIVaqqUt/YxL1/\n+Ts1dfX9vs6Hn60KaV3RQMYojrJ1565gH6TehfRCwB/A5/djkZPvRFxRCKgBAv4Afr+/2yODVVWl\no9NJs8PB2i8288Gnn9PY7BhwK/zfy5az8IzTo2ZLklCQZ5ijuFzuqAgJDs46MSnSKBTxQGNXWTkb\nNm/h09XrqalvwOv14uthwommacFWd4iH8fx+P7f99l5+9r0bmT09PnbDlaA4SmJiAgZZU3dCJrMJ\ns1mCQsS2QCDA0nff59lXl9De0UlAVXX/+2xuaeXRZ15g2qQJWG3hOb/DSORZ5iiTx42Nmqlvdqst\nZqYqCnE8H3y6km/95P/46xPP0NrWjmqAkPhSRVU1Dz/1nN5lRIQ8yxxl4Zmnk52RoXcZvZKRnipB\nIWLWky++yu/+8jAHqmoMEw5H+2zNuriYoi7PMkcZVjyY66/6aqi7NcNi+JCS6OgjE6IPAgGVf7+1\nnOdffyPk4wuhpCgK11z+lajpgRgICYqjKQqnzZlJSlKi3pX0SFGUYFAY+A9JiP7YuXsvLy1ZqncZ\nPTKbzcw4aTIXnLVA71IiQgazjyM1JYVf3XoLP7/3j6iqMZ+JM9JSOXnGNL3LECKkNFXlvocfO3Ij\nToOwmM0kJycx86QpXHflZRTm5cZFawIJiu7NmjaFW797Aw88+k9D9kGeOnsmQ4uNv9e/EH1xoKaW\nGoNs5a2YFMaOGMHUSeOZO3M6QwYXkpiYgNlk1ru0iJOg6MF5C07j87UbWLNx06EdM43i1NkzMJvj\n7xdWxLaqmjpUDfR+oa4ocP4Zp/Oda64iLSUFxRQfLYfuyBhFD8xmM7+741bu//WdpCQn6V3OIfmD\ncpg+eaLeZQgRcl0ul+4hYbVa+Mbll3Lb928kPS017kMCCYoTM5lMTJ00nhce+Quzp52E1ar/4pof\n3/gtaU2ImDS4MF/X+5tMJu768c1c97XLdK3DaCQoeiktNYU7f/x9vn/d1STpOCMqP3cQUydP0O3+\nQoRTcWEhNh1XOp86eyanzpoRN4PUvaX0OFDrqDXeKK4BOLu6eGHxUj5euYra+saI3Xfi2NHc8cPv\nUlSg76suIcLpxX8v5ZlXFuP1+SJ630ULz+GH3742vhexZhYcNyElKAZAVVU2b9/JUy+/Tll5BV2u\n3h2p2B+Txo3hj7+8g4QEe9juIYQRaJrG5h2l3HHPH/p8sFB/KIrCeWeczu3fv1EWsEpQhE9Hp5PS\nvWW8tGQp20r34AvhKyFFgcEFBdz3i/+jMD83ZNcVwsg0TePfby3nH8+/hMfrC+vzd1FBHr+/63aK\nCwvCeJcoIUERGc4uFxXV1bz9wQpWr99IS2tbv6bWKorC0OLB/OSmbzFu1EgsFhm8FvHH0drG52vX\n88xrS8J2Rvy3vn4F11x2iYxLIEEReQpoAY3m1lZq6xtYt2kL23buoqnFQWt7Ox6v9+Cqbw0FBbPZ\nTGpKMkNLBjNu1EjOOu0UBhfkyy+vEAe3Gt+9v5yNm7fxwaefU11bj8/vR9O0AR8L8Iuf3MyZ8+aG\nsNooJkGhL03TcHu8uFwumh0OHG3tdDq70DQNm9VCakoqg3KyyMnMwGazSUAIcRyapuFoa2Pn7jIq\nKqvYs7+CxpZmtMO22ul0dtHW3kFbR0evrvnjG6/nkvPODmPVUaSboJCV2RGiKAqJCXYSE+xkZUbH\nNuZCGI2iKGRlZHDKrOmcMmt6cBDvOC92A4EAq9Z/wT0PPoz3BAPiXS432sGWvTg+CQohRPTqpkfE\nbDZz6uwZ3PeL2/n93x6hsan78Y1J48aGNCRUVcXZ5aKppQWP14uiKCQlJuLs6qK+sZnNO3ZSMGgQ\n551xOqkpySG7bzhJ11NcUZB9yUW8Kas4wPdv/+Vx12UMKynmn3/+fUjWTmiaxlvvfcTTry6mta2d\nQCBwvC86tJHVSRPH8+BvfzHg+4ZUN11PcbyyJMYpysFxEQ+Otjaqa+vZXbaPA9U1NDQ14/Z4CBhs\no0MhwmH4kBK+euFCFJNyxMskm83Kd7/59ZAtsNu8o5SHn3qW5hbH8UMCjtjtcOeeMrrc4Vt7FUrS\noogxbe0dlFVU8M6Hn7BlRymO1jb8gcARU3QVRcFqsZCclMTEcaNZdN7ZjB4x3FAbHwoRavsPVLJx\n63Yqq2uZPG4MJ00cH7LxQo/Hw+Xf+SEdnZ19etw/7v9/jBo+LCQ1hIQMZscul9tN6Z4y/vXy6+zc\nvbf7VzMHaZqG1+fD29bGp6vX8enqddhtNi44awHf+vrlJCdJYIjYM6ykmGElxd0OgA/E1p27+hwS\nAH5/z3+rRiFBEeVq6+t55OkX2LRtB53Orn5fx+P1suTtd2lsaeGayxYxeoSBXuUIEUphOIisqra+\nX49LiZLBbAmKKFVZXctLb/yX5R99ErJDlTRN49PV6/h87QZu/MZVXHHx+bKeQ4he6M+2/4kJCeTm\nZIelnlCTwewotGbDF9zw0zt4+4OPw3LynqqqPPbMC/z9X88Z8hhYIYzmrNPm9rEVrjD/lNnYbbYw\nVhU6EhRRpqvLxV+eeBqvN/xbMC999wO27CiVsBDiBBITEvjNz37MvDkzsVlP3FGTnZXBhWefGZHa\nQkFmPUWRhsZmfveXv7N1Z2nE7mm32/j217/G5RctjNg9hYhm7Z2dbC/dzdOvLGZPWTnaUWuXrFYr\nD/2/XzNm5HDdauyW7PUU3QIBlRtvu5N9FQcifm+zycTDv/8NY0eNiPi9hYhWmqZRVn6Adz76hBUr\nV6NqGsUFBdz63W9TMrhQ7/KOT4Iium0r3c0td/1Gt26gOdOncu+dt8ngthB9FAgEqGtoJKCqZGdm\nGHv6uazMjl4+n4/fPvA3XccKVm/4gjUbN+l2fyGildlspqggn5KiQmOHRA8kKAzO7w/w3Gtv0Bim\nQ1v64oHHnmTPvnK9yxBCRJgEhcGV7t3LWx98pHcZADS3OHj7wxV6lyGEiDAJCgPz+/3c+9dHaXG0\n6l0KHByce+fDFbg9Hr1LEUJEkASFgT372hJq6xv0LuMILrebrTt36V2GECKCJCgMal9FJS/+e6ne\nZRzX6g1f6F2CECKCJCgMSNPgqZdfP+EusHppaGwe2Gn2QoioIpsCGozfH2DJ28v5bM06vUvplucE\nZxALIWKLBIWBqAGVex582NAhAZCRniYnqgoRR6TryUDe//RzPluzLiw7wobSsJJivUsQQkSQtCj0\npijU1Tfwyn/e4j/vvGf4nVrNJhNnzpurdxlCiAiSoNCJpmk0tzh4+pXFLP/4U/x+v94lnZBJUTj3\njNOi5rAVIURoSFDoQFVV3nr/I5a+8z57yyv0LqfXJowdzTcu+4reZQghIkyCIsJa29r5v9/9gd1l\n+/UupU9OnjmNu396C7YoOZFLCBE6EhQR9P4nn/PI08/jaG2L7I01DRTl0ESlXi2B0DQsFgtTJ03g\n4nPP4pRZM5AdxoWITxIUEeLscvHYMy9GNCRMJhPZmRkMys4mNyeLLpcbR1sbtQ2NuFxuVFU9ZvDc\nbDZht9kpGVzI+WfO58xT55KUlBixmoUQxiNBESF/+vs/aHY4InKvhAQ7i847m0svOI+crMzgYUMK\nh9Y+BAIButwe3G4XXS73ocdZLBbSUlNIsNuxWuRXQwgRJM8GEdDY3MKnEVhEZ7NZ+d43r+aMU08m\nLTX1yE8e1nAwm82kJieRmhydh6gIISJLgiICdpXtC/siOrPZzHeuvpJLzjtbjisVQoSUBEWYqarK\nF1t3hPUeE8eN4fvXXc24USPDeh8hRHySoIgAbxg30Zs/dzZ3/fgHWGRMQQgRJvLsEmYmk4mRw4Ye\nHCQIXZeQxWLh3Pnz+On3bpCuJiFEWElQRMD40SNDGhIAX1l4Dt+4fJGEhBAi7GT32AgYMXQIQ4oH\nh+x6Vy66kO9ffzWpKSkhu8htD+sAACAASURBVKYQQnRH6XG3UketsbcyjSLllVXc+NM78Q1g87/E\nhASuuvQivvFV2W9JxCFNA1QIBCDgB9UPqi/4/18+jykmMFtAMQf/a7aCyQwmU8hb9TEps+C4PyTp\neoqQocWDOfO0U3h3xWeo/TjiVFEUvvm1y1i08Oyw1CeEIQX84PeCuwPc7eB1g98Nfl8wHDQ1OP53\nxP40CijKwdCwBt8SkiEhFWxJYE8KhocER69JiyKCVFVl7aYt3P3Hv/TpOFGb1cKdP/oBp8+dHdb6\nhNCd3wvOFuhqgy5H8P1Qn9GiKGCxBUMjLQ9SMsFkRTYz675FIUGhg7qGRn71hwcpqzjQ40I8RVFY\ncMocrrvyqxQXFkS0RiEixusCpwNaa8DTReTP2VXAYoHUPMgsBFsc720mQWEsdQ2NLF3+AYvfeueY\ndRYaYDWbOfv0U7n529eSlBjHv7gidql+aKuHlirweXQIiOOwJkDWYEjOBluC3tVEngSFMXV0dvLx\nyrXsLttPfVMjg7KyGDlsCPPnziEzI13v8oQIPXcnNOwFVydofR+viwwFktIhb2SwiypeuqUkKKKA\nYowXVUKEngYdzeCohq5WvYvpG4s9GBipOXpXEn4y6ykKSEiIWKRpwfGHxv2gGrUF0QO/B2pLITAc\nUnOD027jTERbFP5AgEAgAIqCzWKRVcVCxLq2emg5cHCQOgaYzMHWRXq+3pWEh14tCk3TaG5tZ83W\nnTS1th2c5aOQnGCnOD+XmZPGYTHLAnEhYkrADzU7grOZYokagNpd0N4Ag4YF12bEgbAHxYHaetZu\nK6XD6TrsoxqdLjc7yw9gs1mZPn50uMsQQkSKtwua9sdeSBzO6QhO6y2eHBfTacP6Ur6zy8XH6zYf\nFRKH0WDzrjL2VdWGswwhRKR0NEH5Bmhv0ruS8PO5Yf/64CB9jA8whjUotuzeR6AXJ7ut2ryduqaW\ncJYihAi35kqo3g5hPs3RUDQ1+D0f2BLT33dYg6KmoXevKjxeHxt27glnKUKIcFH9UF8Gjfv0rkQn\nWnDKb8XG6JzV1QthCwoN+rRTqqOtI+znSgshwqCxHFqr9a5Cfx4nNFfoXUVYGGa6kdfno90ZI1Po\nhIgXjfuDi+hCvXFftGquDAZnjL3oDVtQKIDdbuvTY3rbVSWE0NmXi+iaD+hdifE0V0D11pgKz7C2\nKNKSk/r09Y72zrDVIoQIIWcLNMVmN0tIOFuDP6MYEdagGFnSt+M/WzskKIQwPK8ruJjO3/szVeJS\nzY7gFNoYENagKM7LwWa19vrrvb7+HxMqhIgATYOqrTHXBx8WqgqVW4OD3FEurEFhNpsZnBcHOy4K\nES+czcEWhegdbxc0letdxYCFfdbT3CkTGFLYuw20khPt4S5HCNFfHU1Qs0vvKqJPRxN0NutdxYCE\nPShsNiunz5hCVnraCb92+ODCcJcjhOgPVYW63cHFdaLv6nZFdXddRNZRWMwmTps+iYQepstaLGaK\n8gZFohwhRF85WyDg07uK6OX3QVf0bpIY0fMofD4/lfWNbNy5m84uF5qmYVJMFOUNYurYkWRnnLjV\nIYSIME2DstUyy2mgrHYomggJKXpX0j2jHYXq9fkJBFSsFjMWizlctxGiWxoaHq8P38HZdnabDavV\njIIcqHWE1tpgt5MYuMQ0GDJV7yq6Z7SjUG1WC/R+5qwQIdXW4WR/dS37a+rweLygKCQnJlCSn8vo\noYNJtMvECiDY3dRWp3cVscPdGfyZmqPryU+3FoUQetm2Zz/rtu+iu999s9nE4LxBnDFrGnF/Wm/j\n/uD+RTF+3kJEZZcET8czom5aFIbZFFCISGhobmVtDyEBEAioVNTUU98cO1sw9IumBvdzkpAIrdba\nqNsHSoJCxA1/IMAXpXt6/UealJgQ9poMrastePa1CK2AL3h+RRSRoBBxIxBQ6XL3bu+d1OQkUpJi\n/yzkHnXKbs5hE2UbBkpQiLhhsZjJTk8/4dflZmdw7twZmOJ5gELTgiuKRXi0N0TVHlASFCJumE0m\n5pw0nozU7uexDynIY+Eps0hLSY5obYbjc8u6iXDye6G9Ue8qek2CQsQVm8XC/JlTyExLxWT6X4vB\npCgMLcrn1GkTMZtlXQ8e2fI/7FxtelfQazI9VsStL4/fNSkmkhMTsNuia2572Ggq1O4Kdo+I8DFZ\nYNRcDDUH22gL7oTQm81qJSfjxGMWccfvBXe73lXEPjUQ/Flbjb+4U7qehBBH8ntkA8CI0II/6ygg\nQSGEOJK7I/hqV4RflLTcJCiEEEdyO2UxdqREyRRZCQohxJECMi02YqJkCrIEhRDiSL7o6DePCRIU\nQoioJOMTkRMlP2sJCiHEkaJsZ9OoFiXnaEtQCCGEbiQohBBC9Cg6noKjo0ohROQYaUuJWGeKjqfg\n6KhSCBE5JtkUMWKU6HgKjo4qhRCRY5bNESMmSn7WEhRCiCNZ4/wI2EiyRccpihIUQogj2SQoIiZK\nQlmCQghxJHtK1AyyRr2E7k9bNBL5bRBCHCkhBSzGPyMh+ilgj44jdyUohBBHMlmipkskqimKDGYL\nIaKUyQwp2XpXEftsSTI9VggRxSQowi8ten7GEhRCiGNZbKDIwruwMZkhMUPvKnpNgkIIcSzFBMnR\n80QWdZIzITFN7yp6TYJCCHF8WUV6VxC7MouiZnwCwKJ3ARGjaXhdTtzOdjqa6nG1Ow5tu29NSMSe\nnEpqdi6JqRmYLFYUxYQcHCziWmIGWKzg9+ldSWwxWyExXe8q+iTmg8Lv89LRVE/5F59RuW09XW0t\neF1OVL8vOI8ZUEwmFLOZhORUMvJLyCwsoWTybLIHD8dik/nkIk4pSvAJraNJ70piS1JG1O3Qq2g9\nnWblqI3al9RdbS1sevsVytatwOdx96t1YLHZKRg9iSGT5zB8+jwsdplb3luq34e7s53Olkbczg68\nXR0HP6OQmJZBSnYeCSmp2BKTD7behCF5nFC1Vc7RDqXhM4NTY40os+C4CRZzQeFsbab007fZ9sEb\nBELYZLbaExlz6rmMPvksMvJLpFvqKAG/j6aKPexd8xFNlXtpb6jB7/WgaWqw5Xb4j+vgr6LJZCYh\nLYPiCTMonjiDonFTMVuiYwFSXGlvgJqdelcRG5IyoGSK3lV0Lx6Cwu1s54PH76WhfBdaGM6iVRSF\nlJw85l39Q/JHTgz59aNRwOejcvt6yjetpGrberzurn5dx2KzM/Skk5l2wdUkZw1CibKmeUwL+KFs\nVdSc72xYJhPkj4G0XL0r6V6sB0VrfRXLHvw57s728N9MURg583SmnPc10nMLw38/A3I6mijb8Alb\n312Mp6szZNc1mcxkDh7Kgut/RtqggpBdVwxQUzk0VehdRXTLGRJ8w8AvgmI5KHZ8soyNS5/r96vZ\n/jJbrcy/7jaGTJkT0fvqKeD3sfGtF9n+4VLUgD9s9zGZLZx8xU2MOeWcsN1D9IGmQtka8Hv1riQ6\nWWwwYo7xB7G7CYqoH0X0dHWwadnLEQ8JDna7rHzlUTpbGiJ+bz242lvZ+OYLbPvgjbCGBIAa8LN2\nyb9o2F8a1vuIXlJMkJ5v/Cc6o8qI7p9ddLcoNI13Hv41Nbs261pGQkoaJ1/xXYZNO0XXOsKpYd9O\n3n30t3hdEW61WWyMX3AhMy/+pqFb7HFBU4PdT80H9K4kutiSYNiM6AiKWGxR1O7eqntIALg721nx\n7IO01lfpXUroaRrVpZtZ9tdfRDwkAAJ+L1vfW8L+TSsjfm9xFMUEOUOj5gwFQ7Anw+CJ0RESPYja\noAj4vexe/Z7eZRyi+n1sefd1vcsIufr9pax65bGwdzX1TGPTspfCMpNN9JGiBMNC9M6gYVFzLnZP\nojYo6st2cmDLWr3LOELZ2hU4amOnWe7qaOO9R++hvbFG71Jw1B5gz5oPZf2KEaTmQNbgqH+VHHZZ\nxTGzXXvUBkX5FysPrrg2Dk1T+eKtl/D7YmNmyIqnH8DrcupdxiGb3n6Ztnr9Q0sAuSOgYIzeVRhX\nSjbkDte7ipCJ2qDobGnUu4TjaijfhdMR/XvjuDpaqS/boXcZR+hqa6Fu73a9yxBfSs2Nqq2yIyYx\nPRikMSRqg8Lr6oSeZmzpxN3eaogB9oHa/uHSkG6BEgpqIEC5DGobh6JA8WRISNG7EuNITIWSyTEx\nLnG4qA2KpPQsQ/aRqmrAEH36A6JplK1foXcVx9XRXK93CeJwJjOUnHRwxXGcS0wL/ixicJPLqP2O\nisZNxWQ25lGNFotN7xIGxOdx42pv1buM4zNgKzLumczBmVB5I+NzrYuiQEpWcLO/GAwJojko8kdO\nIDEtU+8yjmEymUkdlK93GQOiBvz0uBBTR7YEg27PLCCjENLy9K4i8tLygpv9xWhIEM1BkZ47mJmL\nrtO7jGNkFJZQPGGG3mUMjAG79IIU8kfJrr2GpShQMDbYsojyVnWvKArkjwrO/orx7zdqgwIFhk8/\nlVFzztS7kkMUk5lTrvq+IVs6fWFLSCQh2XgDlGk5eYydt1DvMsSJZBbB8FnB9RaxKjUHhk4PtqLi\nQPQGBQAKMy65lsyCEkNs3Tv0pLnklIzUu4wBU0xmsg34fYw+5RxSs+OwayMamcyQPzrYd2+K8qeZ\no6VmB7ua4mgrk+jeFPAgNeCnZtcWPn/pEZyOyK+vSM3JY9xp5zNhwcUxc6xnZ3M9i393MwGDLB4s\nHHsS5/7g1zHz840rPg/UlkKXQSdI9FZSBmQXQ3KW3pWETyyfR/ElNRCgdvcWKjavpmLzalydbcEd\nL0Pa2tAAEwkpqWTkFzPprEsNPQNrIOrLdvDuI7/F53HpVoPFZmf49HnMvfJ7mMwW3eoQIeB0gKMa\nOluiaysWWyLkjYLk6O5S7pV4CIovaWoAR20lB7aupXrHBjpbm/F0thPw+Q6e4XzYNMujB26P/rii\noCgKFquNhJQ0kjJzKBw9mZLJs0nLyccay7NwNNiz5gO2ffBG5Pew0iAhNY1Zl32bIZNnY7XH1gKm\nuKUGoOUAtFQH/9/ITObgeEt6XnCr8HgQT0FxLA3V78PrdgXfujpxd7ajaRqew49OVcCenIYC2BKT\nsSYkYktKwWK1YbUnYrLE5ytaTVOp27uDre8uprl6P+6O1jBNn1WwJyWTnjeYCQsuomTyLMwxPpsk\nbqkBcHVA035wdxhnfYyiQEJq8Fzr9PxgWMST+A4KESqaqtLV3kLTgTJa6yppriyjo7EWn9uFx+VE\nDfiDW5JroKrqkZ1+JhMKYLZYMVvtWBMSSc0aRFbxcDLyi8kbMZ6UrEHSxRRvfB5wtUFLFXh02JpH\nMQWnt6bnQUYBWOyRvb+RSFCIkNMgEPDj97rxez14XU68Lic+twtNVXF3th3xR29PTkMxmbAnp2BP\nTsNqT8CWmIzZakMx7NoNETEBX3D8oq0OvF3hP5/bZA62HtLzISkNrNK9KUEhhIgufi+42oOtjK42\n8Lkg4A9OUOltq0NRgn3KFmswCGxJwUHpxDQwWWJv6u5AdRMU0sYXQhiTxRZc2Hb4wj1NC45vqH5Q\nVVB9wfA4nNkCijn43y/DQKZVD4gEhRAieihKMABkHCuiJGaFEEL0SIJCCCFEjyQohBBC9EiCQggh\nRI8kKIQQQvRIgkIIIUSPJCiEEEL0SIJCCCFEjyQohBBC9EiCQgghRI8kKIQQQvRIgkIIIUSPJCiE\nEEL0SIJCCCFEj2SvXiFEn2iahsfjxeV209LaRrPDgbOrC1XVUFDIyEgjKyOd/NxBJNjj+FjRGCJB\nIYTonqKgqRpuj5va+kZq6urZsqOUPfvLaXG00trejsfjxR8IHHqI1WohwW5n1PChXHnJRUwaNxqr\n1arrtyEGRo5CFUIcwev10tLWzobNW/lszXoqa2poaGrB5/OhaQdPF+2DYSXFPP6n30lYRAM5ClUI\ncTyqptHR0cmqDV+w/KNP2LV3H26PJ9iVdNTTRl9DAmDfgUo+Wb2eM+edHLKaRWRJUAgRh1RNo8XR\nytLl7/POhytoaW0jcFj3Ef0MheNRgKqamtBcLIp0dDrZuHU7VTW1eLxeCvJyGTN8GMOGFKOE6ocb\nIRIUQsQZt8fDa0uX8dHnqymvrKLH7ucQMVvMYb+HUfj9fkr37uPxZ19kV9k+/P4AaGAym0hLTeGa\nyy5h0cJzMJmiZ9KpBIUQcULTNHbuKeMX9z2Ao7UtovceMWRIRO+nl7LyA/zivgeob2zk6PwNBAI4\nWtv425PP8uFnq7nlhm8yesQwvUrtExnMFiIOqKrGfQ89xkefrTxihlIkmEwmXn3iIbIzMyN630j7\n4NOV3PfQo8EWRC8kJNh54v7fM7gwP+y19Vo3g9nR0/YRQvTbttJdfKhDSADYbTZSU1Iift9Iqqiq\n5m//fKbXIQHgdnt48qVXIQpejktQCBHjnF1d/OK+Px8zWB0JGlBUkIctRqfGqqrK3/75DDfddhft\nHR19fvzHn69m9cZNYaktlCQojCTKZkII4wuoAZ577Q06Ojt1ub8CjBw2VJd7h1t7Ryc//uU9LFm2\nHI/X2+/rPPDoE+wu2x/S2kJNgsIIkhJZ8uYyzrvsKkhO4phRsL5ITeX/fnMvX7/xBxDjzX1xYh0d\nTtZt3qJrDWmpMfZ7qMCefeX84e+Ps3XnrgFfrtnRynsrPgtJaeEis570lpyMYk8/9K5iz2DOjGms\nevfNPl9KtVoxW1MPvf/S60vQ/B3Q3vcmsYgNHU4nrW3tutZQuqdM1/uHiqZptHd08tizL/Lux5+i\nqmrIrvveis+46Ztfx2I25jRiaVHoLCF10BHvX3vttazZ8AUuv6/P1zIfda0bbrgBxZIqLYs4ljco\nh6kTJ+haw5adpXz8+Wpda+iTw3qA/f4Abe3tvP/J59z0s7u44sabeefDFSELiS+1d3biaIvslOW+\nkOmxerLbUZKzD72bmZlJS0sLAOcsOJ13//1y76+VkoJiSzv07m233caf/vQnBg8ezOKnHmP2jOmh\nrV1Eje2793DLnb8J+ZNbXxTk5fLkn+8jMTFBtxpOJKCqOByt1DU20dHppLa+gR2791BeWc2B6mp8\nPn9Y7//MQ/dTUlQY1nucUDfTYyUodLS7bB9jZp566H2Hw0FGRgYAiqKgOWp7PV5xwy0/5cnnXzr0\n/pf/rpqmYTKZ0FribwsF8T+r1m/knj8/jMvt1q2G8844nZ9+99tYLMbq8S6vrGL5x5/yzocraGvv\nQNM0tCMbFhHxwiMPUpifF+G7HkU2BTQYk4lv3XzrER/6MiQACgoKIDUV2nvRv5ySckRIHO7QnjIW\nC/jD+4pIGNfJM6bx8uN/45PVa3nm1cU0NTsien+z2URJUaGhtq3QNI1/vvAKL7/x5jGtrUiHhN1m\nJzszoxdfqQ8JCr1Yraxev+GIDwUCAcwHB7Nqa2t7FxIAgV4EgN0uQRHn0lJTuPCsM5gwZhSv/Oct\ntpfupqahkYA/EJaZ2ZqmYbNZycnKZNHCc1l03tmGCord+/bz2tJlunbJfakgbxA2m03vMrolQaGX\nxIRjFkBdd911PPfcc4fer6qpZXBhwYmv5fYc86GdO3cybtw4brvttuAHDNbcFzpRgudD3PHD76Jp\nGm3tHezcs5fd+8rZsqOUqppa2js68fv9BAKBYxYNH3pf04Ldowf/qygKFouF1OQkiosKGT6kmLkz\npzN+1EgSExMMt1vqgaoafnP/X/EZ4MWT3W7n2isuNdzP6HDy7GEgzz//PPv27WPlypUA7Kuo6FVQ\n7Nl77PTD8ePHM2fOHFavjqLZJiKiFEUhIz2Nk2dM4+QZ0+BgK8Dn9+Pz+ejs6qKjvRO3z0tnZxc+\nvw9nlws0DavVQnJSMokJdjLS0khMTCA1JRm73Y4pTE94gUCATmcXjS0tpKemkJWRcagF3lf/Wf4+\ntfWNIa+xP76y8GxOmzNL7zJ6JEGhl272hPkyJAAmjRvbq0uNHH78HSiPCAlN/+a1MD5FUbBZrdis\nVpKTksjLydG7JPx+P0uWvcuLS5bS3tGJqqooionsrAzuvu1HTBgzqs/X3Lu/XJcB66MlJNj5xuVf\nwWw2Tpfc8Ri7uljm853w1VBGenqPn/+S0psphwEJChF92to7eOa1JfzjuZdobWs/NJ6gaSpNzS3c\n+9dHaHL0fWDeZNI7IoKGlxSTlJiodxknJEGhF4+Hr15yYY9foqQk9/Jiyon7N7u6el+bEAbQ0NTM\n9T+6nedfW9Ltrrc1dfXceOvP+e+7H/Tp2iOGDNG9NQEwe/pUvUvoFQkKHb34z0d7/gJnL5/c3W6e\nfuQv3X46PS1tYPtHCRFhHq+XW+76Ta9WKzva2nnw8Sf591vv9vr680+ZQ0pyb1+Ihc++8gN6l9Ar\nEhQ6MvXQZTRnZt9WUl/7rW92+7lX/vVYn64lhN42bN5KfWNTr79e0+Cpl1+loam5V18/rGQwY0cO\nH0CFofHFtu10RkFrX4JCTy43Vyy66LifWrXq475dy9l13A3FTpo4gXPPPrO/FQoRca1tbTz54mt9\nflyns4uf3n1vr7baSE5K4o5bvkd6WuoJvzac2js6+dFdv2XD5m261nEisoWHAZiyCo+Yr75+xXtM\nn9SPjdwSE1ESjzxuUmutAwMsKBKit/bsL+env76332dofOPyr3Dd1y7r1eK+to4OHnvmRTZs3kqz\no5VAQEVRDvbUKpGbFaUoCnNnTOOma7/O4KJ8FL1GULrZwsN89913d/8gd2cPnxSh8uvf3Y1Z06iu\nrqFm9xaK83L7d4iR38/dd95O6a49JCUmUl21F3Tc20eIftE0Pl2znrbe7kxwlI5OJ6fPnU1iwoln\nAybY7cyeOoW5M6dTmJdLakoyyUlJpKYmk5GWdmiacGJCAmazGUUxhW0ld2VNLSvXb0TBRHpaij7n\neCSm/uZ4H5YWhRDCcMrKD3Drr39HW0dnn19bTxgzit/f9bP+ndN9qDkRdPjzo6aq+FWVtvYO1mzc\nxHsrPmPLjtK+36NXZShMHj+G22++iYK8vMi1L2T3WCFENHG73Xz0+Wo2bd/Jjt17aG3rCG65oWkE\njnpVbzIpJCUkMHnCOG696dsRGXvQNHj6ldd59tV/h+0eVquV8844nZ/ceH1ktviQoIgymgZaANTD\n3o73b2W2gGIGk+l//xUihgQPD+qg0dGC2+VG1bSjuqUUkpMSycnKYnBBXkQ312tr7+CKG2/G6+37\nQWO9ZbFY+OvvfsX40SPDdo9DJCgMSguA1w0+Fzgd4O4EvxcCvoOD0L39J1CCzWazJfhmS4akdEhM\nB4sdLNYwfyNCxKcf/PzX7Ni1J6z3GJSdxYuP/iX8Z3nIeRQGoanBMGirB3c7eLtCNCtJC7Y4/N7g\nm6cLOg5ueqYoYLZBclYwPFKzwCTBIcSAKTC4ID/sQdHY3MLqDZs4dfaMsN6nOxIUkaIGoLP54FsL\nqBHc3ljTwO+BtlporwNHCmQWQFImWI17NKUQhqcdOeAdTms2buLkGVP7vWPuQEhQhJOmBbuT2huC\nr+6NsIOrpoG7A2o7gu/bUyBnSLClYZZWhhB9oii09nMab1+t37yVxuYW8nMHReR+h5OgCAsN2huh\ncR/4jj1UyFA8nVC9HRQTZORDzlAJjDjmdntoaG6mvb2DLrcbRVFITU4md1AOGWmphjqhzhA0LWLH\nyra0tlFeWS1BEf00cNQE37zG37/lCJoarLutDpIyIH8MWIx7NKMIncbmFjZs2caSZe9SXll5aAZP\nsEcleIKdSVFIT09jxJASrrjkfKZNmqhLF4jRaMfMwAofv99PXUNDRO51NAmKUNE0aKmEpvLo3qlV\nVYNjKNXboWh8cMaUiFkbt2zj4X89R1VN7THHggan7QcnwaiahqO1jfWtW9mxew8XnXMWF5w1n+Ki\nwt7f7KjFbLFAVVU8vvBNjT3a0etHIkWCIhQ6m6FxP3ic/Xq4qqpomobJZDLOubmudihbCwVjIDUn\n2DUlYsa20t08++q/Wb95S5+fu7tcbl75z5u89t9lXHzOmVx/1eWkpiQHf3eV/83o9vsDdDqdNLe2\nsnvvfnbs3kN9YxNNLQ78fj9ms4niokLOOX0ek8eNIU3nDfr6Q9U0/N2cVhkONqs+rXwJigHRoGF/\nsCXRT6WlO3ln2TJ8Ph8pKaksPP98hgwdOqDACAT8rPj4Y0p37sRqtTJy9Gjmz1/Q92tqKtTsBFsS\nlEyRrqgY8fIbb/LE8y8PeM8iVVV54533eOv9j8hIT2dwYT4Jdhtt7Z2HAsLV5UbtYRJHeWU1n65e\nh91u42ffv5Ez580dUE2xLMFuZ2hxkS73lqDoLw1wNoOjakCX+eTjj+k6uB+9w9HCW2++ySWLFjG4\nuLh/ZWkamzdtZs3q1Yem7TU3NzN27DgKCgr6V6S3C+p2Q9GE/m1WKAxj5+69PP3K6yHd2M7n99PY\n3Bw8C6KfO656PF4eevJZTpo4nuzMjJDVFm4KYIrQ30RWRrouA9nIeRQDULsDqncMqM9V0zTcR+3u\n2trqYOXKz/t9zdbWVj7//LMj5narqkpNdXW/rwkHu9cqt4BPdqONVv968VV+8qvf4fF4w3J9ZYDb\ncre1t3PH7/4Ytt1Zw8FisZCZ0buz7QfqnPmnkpOV2YuvDD0Jiv6o2xOc/jrAgTlFUTj3vIVHzB6x\nWm0MHTq039dMTk6mqOjI5mlKSgrjJ/TjfIujdbVCxcbg9iIiqny6Zh3PL/4PHm94QiJU9u4v592P\nP+39zjUGcPKMqWEfW7Tb7SxaeI5uY5gSFH3ldQWnkIbIqNGjOfOssxk2bDh5+fksOOMMTpo6rd/X\ns9lsLDjjTEqGDCE9I4MxY8dx8aJFJCYmhqZgvw+a+z8mIyJPVVWeeWVxxFYQD9R/3/uQ1o7ITDkN\nhflz54T97IhZJ03u37bpISKbAvaFxxmcNup16V2J/kqmBNdbCMNb9sHH/Onv/9C7jF5TFIWrLr2Y\n71z9Nb1L6RVN0/joO48G+gAACOVJREFU89Xc8+eHwnL9QdlZPPW3P5Ecqhd7PelmU0BpUfSaFhyT\nkJAIqtkZ3ApEGFpVTV1Yz0sIB03TWP7hiqgZq1AUhQWnnsxVX7ko5Nc+fe5sHv3DPZEJiR5IUPSW\nxwW+KFttHU5+LzgGOEAuwm7H7j00O1r1LqPP2jo6cXZFz9+bAlx7xaXMmjolZNccWjyYW779TbJ1\nGsA+nARFbzXsjaoBtohob4CAsQdH4936zVvx+yO4U3GI+P1+9pYf0LuMPkmw27nvF7dzxw9vYviQ\n/k1v52BX0zcu/wr/eOBesgwyVVjWUfRGwBec8SOOpGnQWgvZQ/SuRHSjsroWDQ0lcqcuh8zusv1M\nnThe7zL6RFEUzl1wOmefPo8VK9fw+HMv09TSTCDQfTeaBphNCiVFRVx92SXMnzs7/AcU9ZGxqjEq\njzPm9qgJGadDgsLAOp3OqAwJgJbW6H1xZjKZWHDqyYwYNoQ1Gzbx1vsfUVNfT8CvHlqprigKiQl2\nRg4byvTJE1l41nwGZWXpXfpxSVCciHZwy3BxfO7O4FYfsheUAWn4A5HbhyjUomUwuyclRYWUFBVy\n+cXn43J76HK5cDqdWCwW7HYbaSmpWK3Gfxo2foV6U/3gatO7CuNSA8GBbTkpT4RYrJ19kZhgJzHB\nHlVblHwptv4lwiHgk5XIJ+KXAW1jUkhLTYnaORjFhf3cm0yEnATFiWiajE+ciBq93RuxLjsjI0pH\nKILdNsIYJCjEwMn4hGFNmzwxKrtwbDYrI4fJJAmjiL7foEgzWcAkRz72yCxDXUZ1yqzp5OZk611G\nn82ZNpUknVcji/+RoDgRkxnMVr2rMDb5+RhWTlYWk8eP1buMPklOSuL8s+brXYY4jATFiZgtsvld\nT8wWCQoDs1otfPOKSzFHUffT9667OqRbYYiBi57fHj2l5epdgXElpsupdwZXmJ/HBWefoXcZvTJ/\n7hwuOHO+cc6OFyBB0Uu2RBmn6E5K9PV/x6MrF12I3W7sM89TU5K56dqrQvrCw+/309regdvj6fZr\nNE3D5/MTiOLFieEm51H0Vt0uaA3dgUUxwWSGkSdLiEaJjVu2c/9jT1Bb16B3KUdQgMKCfB787S8Y\nlB26LSzKKg7w8//3R5pbWrFaLUyZMI5TZk5n9rSTMJvNNDW38P6nn/PJqnV0OjtJSEjgrh/fzPTJ\nITgNMlp1cx6FBEVv+T1Qtja4XYUIvurLLoGc/h/bKiLP2eXi9nvuY8euPXqXAkBaaio//d63mTN9\nKjZr6Ma6yiur+e7tv8BznJbEl91ax3vuM5tN/PGXdzBt8sSQ1RJV5OCiAbLYISkyh6hHBXsypOfr\nXYXoo+SkRH516w8ZM3K4rgPcZrOJ4sICfn3bLZw2Z1ZIQ8Lt8fDC4jeOGxIcDIjuXiAHAir/eun1\nqDzDI5ykRdEXfm/wZLd433JcUWD4TLDKPPdopWoaNbV1/P2p51m/aUvYNw/UNA2z2UxqSjLnLjiN\nr154HtlZWZjCMGi97P2PefAf/+r/ORyKwuUXLeT7110T6tKMr5sWhayU6guLDYomwP518b2/Uf5o\nCYkoZ1IUBhcW8Pu7fkZrWzule8p48/0P2bZzFx3OLlRVRdO0fs8+UhQFm9XKoJxsigvzOW3OLGZO\nnUJ6WioWc3jHtDZu3Tagw5o0TWPz9p0hrSnaSVD0ldkCOUOgzhh9vBGXkCLThWNMRnoac2ZMZdrk\niVRUV7Np2072HzhAWfkBmlsceLxefD4/qqqiHtZtYzaZQAGzyYzVaiUxMYHszAyKCwsoyMtlwuhR\nDCspJi01GZstcjOuBro9uQKoPRw0FI8kKPojozC4EV5zBcTTlLrMIhg0VPZ2ilE2m5VRw4Yyatj/\nJihomoaqqvgDAdSAil8NoKoqJkXBbLagKGC1WDApCorJFGyBKOh6bPD4MaNZsWrtgAJj/JhRIa0p\n2klQ9FdWMSRnw4FN8bENec7QYEtKxBVFUTCbzZj70l2k88jmeQtOY/2mLazZuKlfjx8+pIQrF10Y\n8rqimQxmD5TfB1Vbgie9xSJbUrAVkTpI70qE6DVnVxc3/ewuqmvrj/mcxWI51FI6+vkvLTWFJx74\nfVRupBgSso4ijHwuaKqAtmN/KaOa1Q6DJwWnwgoRZTZt28Gv/vBnOp1dKCYTgwvymTBmFDOmTsbv\n9bNr334+Xb2OppYWNE3Dbrfxs+/fyJnz5updun4kKCLA6YDa0uifEaUokFkIg4bLeISIai63h7b2\ndux2OxlpqcfM4lJV9f+3dy+9TcRgGEY/J2lJoQlQtYgKCYkFO/7/H2KHuBT1EtpChoUjWjYvAimX\ninOk2Xs1j+wZ2/Xh46c6v7isFyfH9XR2uLWx7gSh2JBhWXX1tf8VdbvY9mj+ThtVHb2qenraz7cC\n/i92Zm9IG1U9eV71+l3V4dEDOVm1Ve1Nq16+rTp+IxLAb/z1tC57j/v6/u23viT1+X3VzY7NMEbj\nqvlJP7NpMn0gUQM2zdLTJt0sqq6+9FNory83f8Bga/2Sodlx1bPTHrMHdKENsGaO8NgB+wf9mZ1U\nXZ5VLc76bOP2en3RaK3f+z2d9R3VB/Oq/elq/ynAnwnFNoz3+pLPfLU3Yfm978e4vqhanPeP4DeL\nqh83Vctl1TD0p+rebqbVi761u2c86UtIe4+qpvOqg1kPUxtbVgL+mVDsgtGkan9yN9u4b1j2NgzL\nqjZULVehaK3Hoo1WzWhiAKyFUOy6XyFYfUvwSQHYMK8dACKhACASCgAioQAgEgoAIqEAIBIKACKh\nACASCgAioQAgEgoAIqEAIBIKACKhACASCgAioQAgEgoAIqEAIBIKACKhACASCgAioQAgEgoAIqEA\nIBIKACKhACASCgAioQAgEgoAIqEAIBIKACKhACASCgAioQAgEgoAIqEAIBIKACKhACASCgAioQAg\nEgoAIqEAIBIKACKhACASCgAioQAgEgoAIqEAIBIKACKhACASCgAioQAgasMwbHsMAOwwMwoAIqEA\nIBIKACKhACASCgAioQAg+gmFodls2J7/sAAAAABJRU5ErkJggg==\n",
@@ -278,7 +266,7 @@
       ]
      },
      "metadata": {
-      "bento_obj_id": "139672967269456"
+      "bento_obj_id": "140208690771152"
      },
      "output_type": "display_data"
     }
@@ -286,8 +274,8 @@
    "source": [
     "plt.figure(figsize=(7,7))\n",
     "plt.imshow(texture_image.squeeze().cpu().numpy())\n",
-    "plt.grid(\"off\")\n",
-    "plt.axis('off')"
+    "plt.grid(\"off\");\n",
+    "plt.axis('off');"
    ]
   },
   {
@@ -306,16 +294,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 39,
    "metadata": {
     "colab": {},
     "colab_type": "code",
+    "collapsed": true,
     "id": "dX466mWnfBLv"
    },
    "outputs": [],
    "source": [
     "# Initialize an OpenGL perspective camera.\n",
-    "R, T = look_at_view_transform(2.7, 10, 20)\n",
+    "# With world coordinates +Y up, +X left and +Z in, the front of the cow is facing the -Z direction. \n",
+    "# So we move the camera by 180 in the azimuth direction so it is facing the front of the cow. \n",
+    "R, T = look_at_view_transform(2.7, 0, 180) \n",
     "cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)\n",
     "\n",
     "# Define the settings for rasterization and shading. Here we set the output image to be of size\n",
@@ -328,8 +319,9 @@
     "    bin_size=0\n",
     ")\n",
     "\n",
-    "# Place a point light in front of the object\n",
-    "lights = PointLights(device=device, location=[[1.0, 1.0, -2.0]])\n",
+    "# Place a point light in front of the object. As mentioned above, the front of the cow is facing the \n",
+    "# -z direction. \n",
+    "lights = PointLights(device=device, location=[[0.0, 0.0, -3.0]])\n",
     "\n",
     "# Create a phong renderer by composing a rasterizer and a shader. The textured phong shader will \n",
     "# interpolate the texture uv coordinates for each vertex, sample from a texture image and \n",
@@ -369,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 85,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -382,25 +374,13 @@
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "(-0.5, 511.5, 511.5, -0.5)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {
-      "bento_obj_id": "139672643021136"
-     },
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAAgAElEQVR4nOy9ebwtV13m/axVVXs4wz13yoSBhCmE\nQIAgINIO3a2Itj34qhAMk6j9tu3QbUOQKCG5CVMgcWqE1lfEtmXQDw6tvP3SrbFtQO28ICooDTYG\nTGIg080dzjl7qqq1+o811FpVtffZZ7jDvvf5Qt1Tu6p2Ve3aO7ue/fyGJbTWIIQQQgg525Fn+gQI\nIYQQQuaBooUQQgghCwFFCyGEEEIWAooWQgghhCwEFC2EEEIIWQgoWgghhBCyEKRbrGc9NCGEEEJO\nN6JtIZ0WQgghhCwEFC2EEEIIWQgoWgghhBCyEFC0EEIIIWQhoGghhBBCyEJA0UIIIYSQhYCihRBC\nCCELAUULIYQQQhYCihZCCCGELAQULYQQQghZCChaCCGEELIQULQQQgghZCGgaCGEEELIQkDRQggh\nhJCFgKKFEEIIIQsBRQshhBBCFgKKFkIIIYQsBBQthBBCCFkIKFoIIYQQshBQtBBCCCFkIaBoIYQQ\nQshCQNFCCCGEkIWAooUQQgghCwFFCyGEEEIWAooWQgghhCwEFC2EEEIIWQgoWgghhBCyEFC0EEII\nIWQhoGghhBBCyEJA0UIIIYSQhYCihRBCCCELAUULIYQQQhYCihZCCCGELAQULYQQQghZCChaCCGE\nELIQULQQQgghZCGgaCGEEELIQkDRQgghhJCFgKKFEEIIIQsBRQshhBBCFgKKFkIIIYQsBBQthBBC\nCFkIKFoIIYQQshBQtBBCCCFkIaBoIYQQQshCQNFCCCGEkIWAooUQQgghCwFFCyGEEEIWAooWQggh\nhCwEFC2EEEIIWQgoWgghhBCyEFC0EEIIIWQhoGghhBBCyEJA0UIIIYSQhYCihRBCCCELAUULIYQQ\nQhYCihZCCCGELAQULYQQQghZCChaCCGEELIQULQQQgghZCGgaCGEEELIQkDRQgghhJCFgKKFEEII\nIQsBRQshhBBCFgKKFkIIIYQsBBQthBBCCFkIKFoIIYQQshBQtBBCCCFkIaBoIYQQQshCQNFCCCGE\nkIWAooUQQgghCwFFCyGEEEIWAooWQgghhCwEFC2EEEIIWQgoWgghhBCyEFC0EEIIIWQhoGghhBBC\nyEJA0UIIIYSQhYCihRBCCCELAUULIYQQQhYCihZCCCGELAQULYQQQghZCChaCCGEELIQULQQQggh\nZCGgaCGEEELIQkDRQgghhJCFID3TJ0AI2Tkve85lSBOBRAgIIZCXCnmp8MFP3XumT+2s4Hu++nHI\nEokskdBao9QaRanx/j+750yfGiFkBwit9az1M1cSQs4Mr3ju5eimEmlixAo0oKChNaCUuTkPJiV+\n48/PT/Fy7bMfh6VOgkQISCkgBCAhAAFoK1zGhcKvffLvzvSpEkLaEa0LKVoIWRxefM1jAQBr/Qzd\nREJK89+11oB2okVrlMr8HRcK7zvPbswvt4JOCoFEAlIY0SJg/gJG2I1LhRPDHB/6i/vO9CkTQpq0\nihbmtBCyQKz1Mqz1MnQSiUQKc2MWAokUSIRZlkiJVAqkUqCbSrzieZef6dM+bbziedaBsq8/kTK+\nNsJeMynQSSTWetmZPmVCyDag00LIgvDK512OfpYAADqpFS025AGYsIfS1V/juJgpVwq/+v+f247L\nq77mcmROpFhBJwUggr8AfCitVBqTQmGYlwCA//SJc/v6ELJg0GkhZJGRNtlWCAEBe1O24Q8p3F+3\njbtZm5yOVJ7bjssrnnc5UmnCZa3XILxGLmQEEa0nhJz9sHqIkAVBCMCmsNgcDZOnYZcAQge/QoSx\nFCQAJaAFkEqBa5/9uHMqOffaZz8OALDUSXyozIiSUMzB57QYBAS0v57UK4QsDnRaCCGEELIQ0Gkh\nZEEwYSE7b92WIKUF0OaB+SWifUhYC41EAhrC58ScK7jXY/JYnBsVh4PcdQtSWqxL5a4jrRZCFgUm\n4hKyAFz77MdhpZuilxpJkiWmR4vLzXD9RzTiRFxlS59dUm6hNEaFSTx9/ycXu8Hay557GXqpES1p\nlHwb5/pUosX0s9Ew16MoNfJSYVQoAMDGuDinQmeELDhMxCVkUZHmfusnhwjyW6QQkDZjQ8I0U6ty\nOir3oZNIdBKJlzz7sWfwFe2Olzz7segk0r8+56j4x6hdi8BtCb8Jw2sqabgQctbD8BAhC0Bhaplb\n1gj/r/YhJF0lm/obt4YOklMBoJsubqiomyZR1Y8IxJlwibdBBRGCaxTOAfDXtVA0lgk526HTQsgC\nMCmVDf247rcOOyeCiqLgZi2CbrBxrocJqSyi2/KSZz8WqYzLvKsS5trrDvNZquQf/6+7ltpeY0LI\n2Q1FCyELwO9+5v6qVb+76epmqAiBcJE2Kbe6mdcTVQW6yeK5Ld2kclnC1+XFGRDlsqAtJKTdvPZC\n8Hc/c/8ZekWEkHmhaCFkQVC6usG65FrVIlyqHi6I8jxit8UsTxOBl1yzOG7LS655rE1AbrosYf6O\nqF0LhwaqJGWto2tJCDn7YU4LIQuCucGaeZfiop2Q8YMBOnehlteiBYTQUemvT8xNF+e3S8cOhBi6\nLEDlsjTyWbxk0cH10v5aTk0VIoSclSzOtxUh5zm5UpXDonQgXMx6d+8N0zd819xGzkt1488S6UeP\nPpt58TWPRZZIH+KqOypwwsVuH14Hd20qpwr2GppxmXLFfBZCFgE6LYQsCHmpfBhDOccgyNHwTdKE\naTQnoKGFALSOwkXC7sPd/LUAugvgtnTrLgviyiAfBvJN+ERUKGSul/2fD6+ZXi2EkMWAzeUIWSBe\n9TVm0MNOIpHZyTVWS4KqGTeScZWzUTkLZSB83CjQhdLYGBf40F/ct+Nze+sbfyKq3AEQhWR+8k1v\n2/G+X3zNY7HSTavXahvJJfZAbmDIqmcL/AjY7hzKoMFeXirkpcKkPPdHvyZkQWntnESnhZAFIi+N\n4EhlKAiEd1xcjxY7fmLcst65E7pyJ6QAlE1g7STT3Za3H3kDEplAJhJSSh+E8QJFCOxbXfXzbr2G\nicdoDbzzHW/x8871AAClFFSpUKoSrz/yltbjm0ZyQVgLVYkzasnH7rWFJc6hIxXmtLjrSQhZDCha\nCFkgXCijm0rroAgoaEgtWn6X2BBRrZmav9FXLV58bsttN/8kkiTxAiWRCZJEYv++NchEnrJxerTW\nUKXCu+94G0orYJyQKcvS57I0xl5qEISGGscw7lNYPcTQECGLBUULIQuE69oalz2LqorIjq8T3dC9\nw4K4G6x1Y574LdchS1OkaWoEi3NTWhq21ZXCTiVMw9/QGjrR0Dqt+tFoDaUUylLhq7/zB1AUBfKi\nwD13fjBMYPH/xg3k/G79eEzRmEz2erELLiGLBXNaCFlAXv7cy9BNE2SJQCYl0iC3JSz11XBVRiaf\n48Jv+G6kqfmtkqapFysm9CJrHWVFIFZcSfGpc1pMKCksS9ZRibLWJhHZiZfCTgDw0Md+07524XvS\nIGge53JZitJUCuWlxrgo8b4FHzSSkHMY5rQQcq6QlxpZYsNDQaM5oV0CqgkKlUrj0GVXIHvCs5Gl\nGdI0RWrHHPL5IbLKF6kLlHjCLryVraj3UdGtQkZpjTRJ0Ol0oLVGYUesXnrRK5EXOZ72lCvwyd/8\nfzB49EGfw6KCSiEVuC3MZyFk8Tj76xwJIYQQQui0ELKYFEpBKQklNRSEKWcWtvMtNETWxVUv/G48\nPFTo93pIkgRSSAgZjIxcc1jqrooPB9VGS96SuoEx79NsGAiBy9LqvricFKWQ2LGTOlkGpbv40r33\nYfkZ/wjPefKT8ZXPfwqf/+h/qfJYlIZCNV+woRwhCwdzWghZUK57zmXoZ4nPZTF/JS76hu9Cr9tD\nr9dFmiRIkiQSKFIag7UKD4kg6TYQKahCReYJLSfR8g2hawtF2xNn7MuHhNAmYjS00r65nrLCIxQy\nZVmiKEuMRmOMxiM8+LHfQqkUiqAnzTAv8YE/Yz4LIWcxzGkh5Fyi9M3iTC5LqYDHv+g69LpdJEli\n8leSxLor0goWk3AL25AtFCyVNqlESjzfRNdHI5wmUhB/BU3dl7aF2kKbfjIiEEFBVVElXIxoUco5\nMMZ9kWUJKSW63Q66L7wOf/uRX/ON9VxTPULI4kHRQsiC4lwDIQSUBq7+F9+PNE2Mu2IFS5JIWxXk\nBEtVAdTmpDRFiqgJlnrJsw4fmEct4aGmSKkv0W70AStcaiLG7tQJGghAQkNrI8C0DfloK2SkNGXb\nZVFASomr/vn349P/+T1QtsyZooWQxYThIUIWmOuecxk6icTzr/3ByF1J7CRrTkrdUfEVQa0ixXW9\ndUfbKjllq6+L+Z5ffSXpQATV5nUVRkIjpGQETFmWPlRUFAXKssRdv/ELmJSKoSFCzn4YHiLkXOPp\n33YdDh08UGsOlyCRJum2GuFZTHdWZoiU+QVLuM0OM3Ft4zs7xmOwBFV3X2fB2PCRtm19/bx1ZkSi\n7XhExnFJpERRFPjal/5rHH302JznQwg526DTQsiCcsebbsLK8jJ6vZ53V8xNusphQS2hNuy1Uo0T\n5GiKlGmipWXEAKDmkrTuJ/hGaf9yabot1WNdLXGVRsH60G1xvV2UVqZqKErQHWFjcxPXv/HWWZeX\nEHJmaR+og6KFkMXj9ltvwurKMpaXlmw5s20SZ6uEpJQNwRILFwQipS5QUBMwaKbXzjJPdE2yTNtW\ntz2sFsZfTU2RUi1rESz2r1LKljgraDtfliU2BwOsb2zidTdRuBBylkLRQsiic/utbwQArCwbwZKm\naeWs1FyW2EmpBIofMDFJgG4Xg0ePoZASWZZiKcsArc04RVG1zxalP7shcl/sgROJkxsbOHr8BJDn\nWD18CPv6S0jtqNEI+7q4Z0a5L1WPF+e2GNFi5ouiwOZggI3NTbzupjft8QsihOwBzGkhZNFZWV4G\nAPR7PStYAqFi/7rk26ZQMSXOD9mcjl9676/is5//GwxHY7NzrfHql38PvvVbX4i+bdrmmNmrZbeE\ng1ALgVFR4Pd//0786vt/HYPhEAAgpcSB/Wu49rv+L3z7t38rMJ7Y/BcnYASE0OavHdnaPAagJCAV\nNKRP5E3TFP1e7xS8GELIqYROCyELwrvveBt63S4AoNPpIMvSSKyEf0WLs6KlxH/9wz/CL7znPwIA\nyrJsHCNJEjzr6qfhjT/xOvTStB6jObUIAS0lfvad/wF/+NGPo2g5PwB4wuWX4YbrfwyXXnQhdNDV\nVutm6EjD9XRRjb95XmAymWA0NqLth67/idPzOgkh88DwECGLyrtufyu6nQ46nQ5gRUuVy1JvHtfs\nxaKTFO/91ffhtz/8X+Y63suv/W689MXfibTKeDmFr87svgDw//23O/Effum9UFuIpV6vh3//jrfg\n0ksuNgt0S04LgoEWg+ZzrjFdWZaYTCaYTCYAgPFkgh9+3U+e2tdJCJmX1i8dDphIyFnOO2650Y/Q\nnNkpTU1Zs/STSb41jeRcTot1XdIMH/34H+PD//X3Zx7nkksuwVVXXQUA+KOP/TG+8sCDEFLC9vQ/\ntROAR46fwB999OMzBcsTn/hEXHrppZhMJnjnL7wHg8kEg8kkLu22XX/9NRDxNXIl0Gma+FJxc20z\nvOOWG/f2zSOE7CnMaSFkG9x28xvi9vfCVOs0KnWA9uZoCKtrggEAlUJZKvzErW+NjvfmG1+PwwcP\nIs1SM6XmP1npxxKqBkFsc1gggI3RCB/8zd9GnudTX9cLXvACvOY1r8Hq6ir+4A/+AO9617tw112f\nwONe+mLAhk+wDb8lLnieY/tuF3/1F5/G5/73F1rXp2mKV7ziFbj22muR5zl+53d+B7/yK7+CP/yj\njwEA/vm3vhBCV6EhEfZzEcIm5UqToAvb/l9LpGmK0g0FoDX2ra7izTe+Hje++e3R8d92008iSaQV\nhkHOEOodf5t9bxoVTbZrbzgcwQ23vGXOK0XI+Q3DQ4RM4Y433WQdjsSPJuwbt7WNeFxfpo1QCUcn\nRtRyXgXrAB32FFEKZVmg1+1iZWUFnSxDp5MhyzIgEi3xVC9VFt0u3ve+D+L9H/rtqa/z6quvxpEj\nR7CysgIA2NjYwM/8zM/gC3/zebz7Z96B1eVlIGx7v0W5cyuzniMERnmO19xwI/72i3/Xuslzn/tc\nvPa1r8WBAwegbWjnl3/5l/GJu/4nAOCtb7oZF+xb9ecQDtpY5bg0R4pWSnkxN5nkmOQ5NjY2MBqP\nkSRp4GY51wbB9ZbNcJxbh/bPQ+NyaW3f69LnGBVFibzI2UeGnO+weoiQWdxx603IsgxZliLLMhw6\ncMA3bGs2XdvaQzAipSq9DUVLJGZUTayoEmpibqRL/SUTErIuixuhWdaESns3W4HR5gC//9//x9Rz\nFELg+7//+71gAYCVlRU84xnPwF133YXPfeFuPO+aZ5oRGedhJ6kvaYrPfvozUwULAFx55ZXYv3+/\nP+c0TXHttdfiwx/+MADg4x/9OL7zO/6pGTXSul2h62Lm42skAUBK716592Opv4TReGyOk6VIZBKL\nl8BtEYFQgZ+Hv/5bUf1orMq3XSO8X/q5O5DnOfK8QJ7nuJ49ZQhhTgshhBBCFgM6LYRYl6Xf72Fp\naQndTqcWdgn7lIR5DM1f0r6rq8tb8TkUQffWephCKT+JwoQJlFJY6i+ZkJAdU0hGYanKYTEhCzTy\nLJCl+MP/9gd4+OijU1/3k570JDzpSU+yL616PU996lMBrXHP392D5z7rGWG+7B5i9qjKEp/56/8F\nKSVUUMIc8vjHP77hXOzfvx9f+7VfCwD4H3/8p/imb/lm7O91vXvh8lq0d1eqni7+DAS8e5UkCbI0\ndluggTRJkKZJkPQsG2E537DPj/EUvA+tn5Qw16X6nMAVQgWfj/FkgsFggDtuvYluCznvoWgh5z23\n33oTer0u+r0eet2OrS5JgmRb4W87of0fJmAGHeajBFxtO7i6GxFqosV0aDVJuHlRAKKEhraipW/E\nSiJN0zghG+cR5VjEGaHIAXz0T++a+dqvuOIKX0YdcujQIWSdDh566GEoKZGWZbts2ZWSMU8eDke4\n7777pwoWIQQOHz4ciRZ3LZ/5zGcCAO6663/i85/7HJ5/zTVWrNhr7y6JDq9NkCasASlcyE1CJhKJ\nSrDU72MwHFb7sGEkl4xbdR2u57Q4YdtMyG3/vAThw1qZtlYapSrR63b8EAS333oThx4g5zUULeS8\n5vZb3oher4tet4tut2urgWxZbJJEvU+AwM3w9yERJX0CcSKo1s2bEsJE0FKhQAmlXJWLRp4XWFrq\nI81Sf4Osft3b49bFCsJ7owCkxF//xadx95em54lkWYaLL764sdzljEgp8eDDDyPtdgHbmXZPsed7\ncjjE5nAwc9MHH3wQV155ZXSOAHDRRRcB1p34xCc+hec9+xpIHThhgXhxI0C3iheX3KzMtU6zFEtL\nfUwmeeS8SZkg9ULSfi5aRG2jiit62SJyVcIkYQC+p0yJ0iwXQLfbRakUoDVuv+WNeN3NHHqAnJ9Q\ntJDzlnfccqMXK71ut6rIkcL29DA3qUi01AcgDEZJbqSquo6sLdVDrgJGaw3hDAYrWIqiwL7Vlaiv\niDkHNMSTPamG01JohY/98Z/6NvhtdLtdXHjhhcH+Kr70pS9hOBzi6KPHgMnErD9F3XEnkzE2NqeL\nFq017r33XpRliTRNg+RV4PDhw4BNHv7Lv/prHD+5jkP7VmtOixEv5o+Lx4RVVmZ/9evd63YxGAyR\n5wW61o0SAhBSIAlEbXv1UJtYqY6mW5rhVWEtDaVKaC2gtIDUplNwr9v1n5133HIjfvzmN+/VW0DI\nwkDRQs5bkiRBp9NBJ8uQJG15ClX/ExmKheDGJAJB4wlHI55S8lyWptxZWodFCIG8KDDJJ+j3esjS\ntBpHKGiWVt36xNTQkBACRx99FH/+mb+a+frH43EtTwb+/O666y4opXD02DFMhkN0e72aaJlyR96K\nFt0jlcbmYLbT8ulPfxovetGLcNFFF/nz1VpjbW0NAJDnOY4dO4a/u+c+HHrm1YAqG06LqIWIXG5L\n5V5JCKn8WE6ZHZ9okk+QF6YbsfksOGGTRJ8b1Eue3YVpVD6b0I8XKtaNc9pVCkC3fBaTRKKTZaZM\nuyjmvOCEnFuweoicx1S/mP0v7yCREoGr4m8e7pe4ECb/QbZMidlnkphQQn2K+36Y45VliaIwpa1Z\nlvnE2zB/AuF5BO5KmBgshACSBF/+8gN46OFHZr76PM/x+c9/vroadt933303/uRP/gQAMBiOMCkK\nBAk07R1y57/kwWT21csyDLcIP33hC1/Apz71qSjvRQiBz372s/jsZz+LjY0NAMD/+vznINKkOqWa\nC+VSleMwTnVtK0Fi3sMsy5DnOYqiQFmWwXOrDrtt73Hip/bPiAsvSSmrEmqE4lNEn0WXR+X6BJ2K\ntGhCFgGKFnIeoxtf/lXFR7CJXxP05ag1d5NRS/1KvLibnwx+kUvv4Jg9u74ceVEgTU2fGB+qEGFo\nKJyCG5zPrbBnmqb44he/NNcV+MhHPoJ77rnHOwWTyQQf+MAH8NBDDwEwlTMn1jeajdK2YC4tIyUg\nJTYHm1s6B8PhEL/3e7+He++91y/b2NjAnXfeiTvvvNMvu+fe+4Ak8Tf8unhxgisWLtUkZShchO2P\nkyG3osWJJiEQvI9GwEorVqUTrrXPRFh1JEXQ78VfMUvN0GpeR8G+n+S8heEhcv7SKEGOCoBsFVD1\nP4OobsiNktcoKOB+LJu8FS1ab/xaKxRliaIoUeQFOlnqR2+OxxRqb9MfL7P/Jgke3sJlcYxGI/zi\nL/4iXvayl2FtbQ2/9Vu/hY9//ON+fb/fm2s/0wRKfXl0q7Wlxo8eO+FHWp7F3XffjXe+85149atf\njZWVFXzkIx/Bpz/96Wib9fUNiCRxaSvmSgXDKPjQEnQtXOROSUJK5QVjlqXoZKnNNSpRlCU6ulbl\nFCXizmg8qLX/DGgAQgchxOAzZlsPVp/PWhl080IScv5A0ULOWxolppF4CfJQNOIbiLsfancjRGRa\niuifoNw5ukmZZYULC9l8lqWlvg8ZNLuvtiXfBsd0P8ulwPGTJ+e6BkopfPKTn8Tf/u3fAgCOHTsW\nrV9ZXkaSNr8mdhqcaDWxoH3O0FZ85jOfwY033ojl5WU8/PDDUVIuAGwOhljf2MCqELFJpquaHSc4\nTRJs7MYAsNde+VBglmXYHAyQFyZJuihLZFpXH4swX0kBIhHNvjzQNgyo7DJVrdOIP2Puc1jrphzl\nRVG1kPMUihZyXnLk9a/FyvJyo7on7JGhhIawpckiSKJ1YgWwN78g8VYIYba3gkUENyHlb2ymdX9R\nlP7Xe1HkSJI0SMB1vVmCm/nUUEHMYHOA4yfmEy2OulhxHDp4AP0gCXcvMymEDbUcPnQI3W4Xk8n0\nAR1DNjc3sbm52b5uMMDxR49h9dDBWUeu3i/bwgWoRIMMc1tsQm6SpCiKHEXZ8e+bqx4CYMqR3d4L\nCQ1bCVaW0LaBntJGJGqtkdgEbpfjJBAnaiuXrNv22bQuzJEbrseR2+6Y65oRcq5A0ULOS468/adw\n+61vBOzovnKKcNHCDGzoxgsUSkDZ4YSlECgL03QtL/JAsMAkSwqBTpbaxEkETosZJM+5LEVRYDye\nIEtTpFkWh4LqDkTYiwU1IWNnxoPhzBGd50UIgYsvvADL/Z4XbXuKvdFfcPgQup0u1rGx613meW6S\neoWAiMSl69NiRYrt2aKFboZaalU7aWa6Eo/HE3S7XeR5bgSLFEhK0/TN7cKMH6UxGk8wznPrzpgu\nxxpAXpReoCTSCKLlfhdZasJQAMzfFoclEr7QFCzkvISihZy3bA6G2Le66m8GlXBR0Fr40ZiFqH4F\n50UBXWhM8gKTvMBwPEGe5xjlhU/S1Fa0SCnQzTIcPrCGfctL/rhuv0qVtmqoxCTPsbTUr1UHNbJk\nED5sSSEGAKginzs8NItEShw6cMC3uT9VLC8tYXVlGY8cPbrrfW1sbELlhUsmqq1tcVh0c31Q2OTf\nj04nw2A4xGQygZQJhBUcRakwGucYTSYAgIl1V8aTHOOJES1OpDrnxH9OtLbHkOhlKQ7sM4NWHlzb\nh143s8JFRYLFzW8OTkGzP0IWAIoWct5y5LY78K7b34pESmghoILKDiWUyXfQ1hUpSgDAxnCE9cEQ\n65sDTPIC47wwToyKb5BCmh4hSSLx6Il1PPbiC3BobZ9ZByuMlBt3qESamvJaESXX1iVLPTjTEqyx\nJcSuBHg3LC8v4fGXX4ZUylPWWA4AkGV47Fc9Bl+65945Np7NaDxCL8u8QzW9ziZc47YNM0XiJOss\ny5CmCUqlUZQFtOpgUhQYTXJsDEcYjZ1oyZEXRrSEQgOtuVNuncZ4InwFlZACh8Q+pKkMPiMK2k5F\nUdBlIectFC3kvOb4iZM4fOigSboMftEKpaGFsfqLXOHkhsmhOHZyAyc3B5gUhW0QVqvg8XXM5k+p\nFCaTk5jkub95HVpbNc3EXCt/pZGlGdIkgYAth406thoaEiUc2yZY2ev1sH9tDSdOru/q2uxfW8OF\nj3nMFNdiD3D7TBI88fLL8LEtxkmah6WlJezft9p+vmFCbqBZaiktZpkti3bvRZokyNIMqiyhNVCU\nJWRRYDAcYWMwxOZwBACmLDrIXale6mzhorXChjLuSXpMopOm2Le81AgNlUptO1+JkHMJ9mkh5zVv\nePNtyPMcqrQjLWtlc1hM19rN4QgPHzuO+x86ivsfOopHjp3A5nCEIi+M5d8yYnP9camM6Lnnyw/g\nni8/gOFo7NcppTAaj5Flqa8UQsNpqZq51bqPNBBaI11ewoH9a7u+Npc+5hJccPjgqXVZAKAscfXT\nnronu1pb3Yf9h9w5t/tTISK4tnGTHhG9F0Ka8ue8KPx7Oh7n2ByNMRqNkeeFmWyOUvg5qH8mWnNV\nlPL72BgMMRiOTBKvNp/J0oZJK5oAACAASURBVPbymUxyvOHNt+3JtSJkEaHTQs57BsORzVMQEKWA\nEhKAQl6UOHr8JI6eOIHByNj/pVItrdor3KCHIe7GdMw6Hw8ePYaLDx2IQkRpmlaN62Z1ZhPRn5YH\nwMbJdexbXd35BbHj8Dzp8ZdjdXnp1IuWosAVT3wCLjh8GA8/Ml9/mWlccPgQNsdjLCdJ+wY1h6WZ\n1xJvK4LS8jRNozBNrjXGkwlGE9MxFzN2tbXTUoWRTK7UGEVZIpGmTNp1TN6qczAh5zp0WgghhBCy\nEFC0kPOeH7/5TZjkE5Rl6W34siwxGI7w8KPHcHLDNBbLi2LLX8qzJtff44FHHq0qiLRxWdI0jZrI\nzQoBGVrav9vHXdsQbTccOngQV1/9dGRinq8I0Zx8uXbbVEMp9Pfvx3Oe9YxdnTMA9Htd3/+lOSZD\ndb5bB46qUJwvfbbvk4Z57yaTHHlemB4sNtQ3Tyhoq6ksSwhtvpydy1KWJcaTCX78CEd2Juc3FC2E\n2DF3JpNJldtiR9Kd2A6ou7khoRYWWN8cRDc501BO1PqzbHHCbYVD5kjI+j087tLH7Op6PPNpV+Hy\nJzweUG0Bj7o4maFLWnVLy8ZK4UXf9A+RTgvrzMnhw4fQ63Raz3i+hfH6+ojfWZr6ip+iKE0eSln6\npGrMEQLaapJSoNvJvIAxuSyTuZvvEXIuQ9FCCIAfv/nNGE9yTPIcpXIlzNpWg2ydVOmWzyNs8qJA\noUpfOZSmSTyG0aw8i4gp4kYpXH3VVei23LznYW3fKr7+616AteWlrU9kJ+kubc8pCjzlqVfiyiue\nvIMdVvyD5z0XSegytRst8/X21bW8FiGQpgmgYZNjzWdDqdmidqvPRn15IiWW+l3v+uW56fnyeros\nhFC0EOIYjUaYTCam+kMr32J9ajv1GRVDW7kt+aSAttVK2w8NNYk6uhQlVg/sx8UXXbij6/Cspz8N\nT33aVZBTE3B1POltTvXnwwitTreLF/+Lf7qjcwaAiy68AJdc+higMWL0PMGgdtpCRMqOG1QqhfEk\nj3r07OSz4dfZ6cC+FWRJ4pNvx5McAybgEgJQtBBSceNb3o6TGxsYj01+S5pI9Lsdf7MJfzHvNofh\nkeMnoLTG5ubAdJz1LsscoaEWdG3ugoMHdiRaDh08gBd+8z/CgdNRNVRnMsELXvB8PONpV237qYmU\nuOKJT8DS0jJ0MA6QG60bOzSFXDjLvTdSSgyHo8ZnYjtT2+dHKYVOmqCTJji4tgqljMs3Hk+wvrGB\nm992+07OnpBzDooWQgJuftvtOHbiBAbDIYQQ2L+6YjrmzvNLeRs3sHu+8iC01j6Hw3kBsV7R1d/W\nO2683M9qjeXlZXzbC78JnW0k5HY6Hfzjb/g6PP3pT/Pj9kzxRfaUcNRrkST44f/7+7Zdst3r9fDs\nZz0T+1dXgp3qdsGiG0taloe9cRG9N2mSQFtRMe/7Ps/n5tDaPhxa24dulqFUJdY3NnFi/SS73xIS\nQNFCSI0jt92B4ydOYHNzgH3LfaytLDV+Fbf9ct7qxuXQWmNgf60naRLnrQoRCxE7r+vCRQe3Yx37\nLBoA8hxPeeqVuOrKp8z1mqWU+OpnXo1v/yffipVud+a208TMTqeIPMcTn/wkfO/LXoqV5eW5zh0A\nnnX10/AN3/h1EC1iJRYs2l3NWJ9ovzQ2mHTQ5dgKmCRNoKB9ZQ/mTL5t+5y4x71OhosPHcDFhw6g\nLEscO34cm4MBjtz2U3NfA0LOByhaCGnhyG0/heMnT2IwHOKySy7Ecr+H5X6vNUTUdhOa13XpdXu+\nPDhuKqcbN3QvXHQ172/Kuum6HNq/hu/6jn+25WsVQuDqq56Kl193LR5z0YVm9GWfg3IKLZY67jiT\nCf7Jt30Lvvs7/hlWgoEm27jmGU/HNc94Oq77npdgpd8HVBntKt63Dq5XeA1142pH/oyv3jYzvW4P\nsOXqmCFYthK5brkQwJMe+xg7OKLCyfUNjMYTOiyEtCD07Lj1aQ5qE3J2ceSG67FvdQVpappHf/5L\n92E0ySGlhLRt98Nxh+pjELm/oduibFXIVz/1SdBaI8sydLIMnU4HaZpACgkhBaQwI0UL/7dl/0EF\nUZRu6sRPr4f//Du/h9/63Q/jkaOPQqkychKSJMHXv+D5ePUrX4ZLLrwAMswHOZNIiUGe4w/u/O/4\n0G//Hh546KHaaomrnnIFvveV1wEAnv7UK5HUHC0gipmFs4GrEidKK6X9AJjKdSzWZsDMyWRiBkTM\nTX+WR06u4+jxdT/+FGrvd/1vfd6M9qxx1RMuQydNMRqZ8Ys2BgMKFkKmdSqgaCFkNkduuB4rS+YX\nf5qm+Jt7/r5VuEwTLK61fyhalFK47MKDOHTwgBcs3W7HCpU5REskVurCBcF4RQK5Bj7/N/8bd33i\nk7jv7+9HaUesvvSrHoNv/LoX4KlXXgEphHFYUN/PmaUQAl++/8u4848+ik/++V9iczDA/rU1PP9r\nnotv/sf/EBccPgwA0JNx88ltSbiBYPEuy1aixVZ5jccTL1yOPnoMEy1w9PhJM8Bm7b3GDOHiBIsA\ncMXll6KXZRiNRxjYQRcpWAgBKFoI2QPefuRGdLIMd//9V7AxHJmmY1NcF0xxWtxN66rHX4p+r49O\nJ0Ov20WWpdZlMSKlclxi4eJoiJVa7oWfkwJIU6AsMRmPTbUSgKzXM5s0SoTPMpIESBIU4zGKyQSd\nLIPs94GigG4792kVQ3q62wKgEixae4dFKe1L0/O8wGg8xmSSYzga4tjGEEePn/TjUWEOp8UJ1jSR\nuOKyS5ElCUbjEW645a2n6OIRsrBQtBCyV7z9yI1YHwxx3wMP+9GZQ/GCGU6Lu3k988mPR6eTodvt\notftIJHJFi6L9LqkclwqseL/Df5Tb3NePFrXvhXaRmM8C3DfQu7828JAmCVWUAsPVfPmfXHzaqbb\nUqoSo/EEYytcjp7cwFceedSc2hZOS5jfstTr4srLH4vBcIgbbnnLHl8sQs4ZWr+JmIhLyA54/ZE3\nI5UCT37cJQA0iqLwU1lr+z+t2ZxrEx8KnVrhSm1ZXIHklkTzLWXQUZWRCpu81RNWdbXd6UzArROV\nF+novLS9ls1tq6qgumAJ02x1TbDEO2m75oFmCt8rAT8cw6zkW9eG3z2+6NABfNXhA3j0+HEKFkJ2\nAJ0WQnbJkRuux6Qoce9XHrKhnabzUndannDJBVjbtw+9XteEhtLUP3d2aMj9ojfHnpnbIpo/VBrO\nytQxjM4eWr+ENBpyq7lNezioWd7cktNSCxEppaDteFSj8Rij0RgnTp7Elx54BJjiqoXipd/t4CmX\nX4oTJ0+yjJmQ+WB4iJBTyZHXX48vfeUh5EXhBUsoYELR8vQnPg69bg/9XhfdbjfYXlTJuEL4EJGb\nrxDzCZcWYdIqZbahVKZtutWXxU6f19x4K7GCqdVC0wQLfE5LFRryOSiBcFFKYTweYzgaYzQe4a/v\nvjfKZQqFCmwjuosO7UcnkUywJWR7tH5lpKf/PAg5Nzny9uqm9APf92oMRuMopBD+GpdSIrFCpQ0N\nHfRg1QCE7elRLdPaCBcNDaGN8DDzxmWpwkJxObRufBWE2zim5bfoum6Ym+gpYuqD2sbzCJTauUWL\npiXfVk+Of7iFx2t/keF7VxcpWmtkaYJ9qys4vH8fbnzT21r3QQjZGcxpIYQQQshCQKeFkFPAe977\nK37+e1/1SuRFEeSjiCh8VKEbrkO1pHJb4MNAsdti3BJhnBRfGeQcGFQuQpUHHB2pykutpbPaxyKy\nWHSwLj7fKNxkn+OPJdz6sMTJ5Opo/7ygNXBLXk58rGkrpoSHQpdF192UlsqjlqOF711ZFn6MKgA4\nvH8N3SzB648wyZaQUwFzWgg5Tdzwmn8LADh8YA29bhe9bs80lGsk4LYl44ooj8UQPo7XiUg4hKJD\nBQMaKTtp27rfTMItC/8irjpCWHnjq6HmTIwRAhCy5bHwrfIhErNMCmghzbzbLpwPpJf2gic4tTax\n0joPK9z01D4tcV7LBKPxCKPxGHle4CduZZ8VQvYYJuIScjbw0285YkVLF1mWtSfhRr1awqZycfUQ\n2pJvveBQEKoEdGnG5HGTHTPHzYtAsFTCpP7Xom3yS0vOydzEgyw1l4d/Q6EizV8tEyNqZFKJH5nY\n9eavdsIGzsWZV7zEoiXsiBuKljzPTRXReIzXvOHI9q8BIWQrmIhLyNmASeJMWpJw26uA3H3VCJXY\nHRDadiFRCkIX0KoAyhKizIHSPnZCRSmI0GmZUkVTuTLVaUXs9qfMVs/XlSqrNhW10JKIHBvtBYud\nkgxIUmiZ+WWVkJnltLScj2ies7TvYTIlkZoQcmqgaCHkNONudqI1nCLqEQ5bDWR+/QvvkihAFdBl\nDlEWgJpAlwVQFhC6hFZlay5Kq15oVDyLeLsz4be2VfToWQZPJWp0GGJKUugksyLGTFqm3qXRjfeg\nOoiIHJpYuQghvPgkhJw+GB4i5DTxU282YQQXGkqz1JfOSmmTc11OixuEEUaoCFUAZW4mACgm3k3x\nYZ7IRWmrKhbN5bOYq6v/TlvRTf9q2U7kqZEGHEaywmReF1aSqRUyHSC1Iiaxv92EdWNQtfevh4XC\nqShKHyJ67Y0MERGyxzA8RMiZxIUSksSMIdTsiyLs/20eSVkA5QTIR9DF2IoUM0IztILWCmEQJfQE\nqj4tdtk0t6WWvBqdU1xsNIXT87tmljiZvZ0L+ZRW8DknRpqQkXNgACDtAGkXOulASxnWPPlhj8IR\nvYUw7yVDRIScPihaCDlNuBwWKaVPMvWRDMDcZJWCVgVEMQYmQ6AYmxCQVrbhXIwvbK6FlNpLnpvE\nZcx2rl6FE26/0xe/BTN9l5aVW/vDzdZw2ldPAdqJmHxc5cUIadyXtAdkPSDtAjI1gaHqn2qHQek6\nIeT0wPAQIaeBO950M3q9LgCgk2XI0hRpmlahIWhIlUPkIzMVYwhVQGgdiJqoZKi1g209RWNaK/94\n/bSFp0e4bBko2o5oaREs9UTj8GG0pQa0MP1idJIBaRcq60NnXWiZQkFG4aGyLJEXBSZ5jtFoDAC4\n/o23zP26CSEzYXiIkDNFYvNVAMQlzFoBeQFMBkBunBXfF8WpFW0axomw+ZyGXXYK8IfRrd8bswqL\ntnOIubbYg59NQgC67pKEgiX8o40TA1VC52NgvFk5L1kfQqbVTm2yrhQMERFyuqBoIeQ0IG0eC1w5\nMwBRTiAmQ4jJJlBOoHVZlTq3VBa1S4j51m6bSLhg6r5nr52+/Vxb7KHP2yZcRK1/S3watteNKoEi\nhx4PTLio04dIrXixolII8/4SQk49/C+NkFPMHbfeVFUDuRtdMQJOPgxsPGJ+zZdFS1v5M4yev5RH\n1zefc11zy7k33jFhyk44akBrbZUGtFImIXq0DmwcBTYeBkbrJnRnN5PCdC6+49abTt2JE0LotBBy\nqpGJjJwTUebA5sNAMZnqqpwu5vJn5nRdws23fxbzP3l3ekb49GUdPA5nXfUVbAhJuLwYraGLHChy\nYDwE+vuB7qofYgGg40LIqYaihZBTjOm3InxjOLH5qEm2la7F/A4DO9ETdy585hYuqIuX3RxXz3w4\n57O2hQkRhQucSKkJlKaO8csFAK00oHKIjaMQIgFkpwr9nUEBSsj5AH8WEHIKuf3WNxrBIjTE4LiZ\nxhu7MFd0fEcNqO9yO4eYWww0QjfzB38a227nqdsULPO89tbK7vrCsC+LjSNVIrSEOPGAcc7cOgjc\nfusbt3GmhJDtQKeFkFOIgDCDHw6OIxmfBADIJAnWb9ermLF1Y1V7edHUPUzpz7J33sEWKsvSLk5q\n4yFN29a9Bt26NtiouS5MzPUhIl015PPFXK6wSwtIrSCPfxly3yXmeV7cEEJOBXRaCCGEELIQ0Gkh\n5BSSJAnSoXFZZFpzWNxPd1e9IrCtX+luyzCPIppvbNzWjm4bB9ru8+ak7nm0OSptrlEzFyfonlt/\nvVp7t8Q8DBJyRfV0P9tofiuMwxLmTQvT+C/RJdTx+wEAat8lKBMOokjIqYIdcQk5RdzxppvQmWyg\nMz6JLE18u/fED45o8iOkb+cf5k/Aj2/jQw7RfVvEfV/Cdb7x2RQEausXLZwRjKE04xuqqtbWjcdh\nJXdYZq7tY63doIlmrZ/XGkprM4ii1ihL2x1XmSTrXAGTtUuQlxrXv/HWvX7hhJxPsCMuIaeTZLSO\nZHzCOyzhf4Gi9rfhggSD8oUiJtpaiEioNHJK56gs2oPio1l7tezhbx87OJJuMVMax/Oui6itm/W4\ntg+IWOS4dFwBP8SCH0AKgIRCcuzLUDbHhRCyt9BpIeQUcNvNb8DS+v3opCkSKb27AtfSXwpIGVem\nSCmiJnShA4OtREuACO7m02/smCGZttz81LDtHi3Tutm2rdFRubNxaWoOjHdUnNsSuium1FnDOCza\nOS1KoSwrp8U9zjUwWL4YN9zylrleOiGkAZ0WQk4XnRP3I01t637hSmftSlGpCfe/WYJFBOKk3gdE\naw2lFMyPD1v5IpwoklbYbC8pZXfaZNqz51Akc1QTNbJy2tq9CG3cER8/cqJviwO6siBoW0kEKL+l\ndqZL1MulCuM5kWjmE1UiG5/Y+jUTQrYFRQshp4BMxrklYZaJ6+jhc1oCwSLrYSE3X7vBlmWJyXiM\n8XiMyWSMoiygNSClRJZl6Ha66HY7yDodJEkSCZ/tlU3varOZz5jXxhWzNhZxfotWCmVZIC8KFEUB\nVZb2uggkaYo0zZC6/CKvYuJOv8KKQQgBaYWLBKAkIFX1GMKMCi1sQi6CSJEQAtlkYxvXhxAyDwwP\nEbLHvONHX4nlTgKZSBsaqibA3kClNMm4shIrodNSd1mEAFSpMBwNAQAnTpzA8WPHsLGxgfF4DKVK\nCCGRpSl6/T5Wllewum8VKysrWOr3kXY6kJHVY+cWLQfXUn1tmRmlNcqiwHg8xmAwwGAwwGg4xHg8\nRlmWgADSNEO/38fyygpWlpfR7fWQJPHvNm1jS/UkXOXCRKqejKtQKpOQiyA8VKoSRamwKft4/e3v\nPt2Xh5BzAYaHCDkdZBKmoVyLGIEVLaGrMk2wSDe4IgSKIsf6+kk8/NDDAICHH3oIJ9dPYjKeQKnS\nR0ESmSDrdLC8tITBYD/ygweBAwewIiWSTmdmm/ldBHb2lHnOw5cuK7O0LHJsbm7ixIkTOHH8ONbX\nNzAcDjCZTFAWJbTNJep0O1haXsb+/Qdw6NAh7Nu3hk63Y/cpbK/+IDnXOi7unKQwTovPv4WAFICW\nwp6jgNYCGhJSA9lk/RRdJULOTyhaCNljEinj8mUbAhKySqg1wgWtgqWe21KqEhvr6/jKl7+MBx94\nEACwvr6OPJ/Ym3YV3lCiRFmWKIscZVlAawUpBdI0QZImyNJs6xdQi5qcMTNmi/PQWiEvcgDAYGMT\nxx59FI8cfQQnT57EcDDAZJJDqdK4I7Yny2AosbGxgY31dQw2N3HRxRfj4MGDAIB+v2/CRlpARYM4\nal9W7v748BCq9wwAtJDQUkNrgUQKpOzZQsieQtFCyB5y+4+8DD0biqkLEqtZaiKlJlhqCblaaWxu\nbOChBx7Ag195ACdOmOTOoihaPBAT2lCqRJFrDAYDSCnR63axtLSEXq+HLE0hRNwIe2rZs4h22zzW\nrmnKodZqp5p4cUcuS43JZAIA2NjYwLFjj+LE8eMYbG5ikucmnwVVXxYNAEpBlSXKokCRFyiLAtpW\n/lx40UXo9foQ0r5mOykNCKX9iIkuz0UIDWlVjHYumnDCxTw3EQLv+OHr8OPv+sAeXC9CCEULIXtI\nIiVkrVFcKEQQVJu45W3hIiFNSGJcTHDs6FE8+NCDWF8/ibIs7JF0uwNis1aVUijyHOPRCJsbG5jY\n3A6tNRIpattvgWh2qd0bydJy8FnnEzTF08ooirIw12NzcwMbG1VISCkVWTTR+dvnDTY3zPW0+82y\nDBdceCE6nQ4kBLTQ3skS0uW1AEqZaqIq30gHTouGlMKHiaSUdFsI2UM49hAhe8Rbf/ClPgzknZYo\nt0WayfVtcaXJQtg+LtVfaW+Io+EQR48+ghPHj6HIcz8ssiulFiKuWHH/A2CES1FgMplgMh6bsIbP\nmTF5N6IWiqpPfr1shrBat9tiip+DOOFYznkugejLJznySW6qqMZj5JMcWleFyv5/0fHMtVNaYTwa\n4djRozh29CgeevBBbK6vQ2sdCcrovfHvqQzeWxmdkwjfexsiesu/uvaMfjYJOVeg00LIHpGmSXDz\nko0pSYI2/kEvFRm4K/7mDGA8mWD95AlsbmxAlSUwzZ2Y2hhWmxCJUr76xZU/o6Xny8z9auMiTDta\nvXi4VkU8p6HTPip141wAG34x1TsAoFWJosh9qKdRzWz3UH8FWmuMbEXWsUeP4uDBg1jbvwaZJEYe\nCmHKn21DOUgbM4KqaqBD30tJQChASGgBXyGWpXRbCNkLKFoI2SOc+EisEEmikmfhwzJOsLiE3bY+\nLQCgygLDwQDj8RhazwoHTSEo3RXB3VvWxYqY9iBIIrGVMluFhRqdT3bS96U1yabWzrYa+dD8USYk\nVg8F6WkvNdimsCGm0WiEjfV1jEYjZFlmwjxBPo+2uS5QgJCyJlycaW3mNZQJD1kBmzBERMiewPAQ\nIXvA2/71SwPBIn04oZpkEB4KHBZZ3djaQiDmR76KqlfCqWVRNQVhICmT9oEZg5CSCyxVUxhaqTe/\nm55MLGxCqhThecwOGbWfT8u5RKEeKwwT2+9mSg5v2xRdw8DdKorchOE0GufY+p5FrlmwzIWJpKsi\nknjLD770zHw4CTmHoNNCyB4ghYxvoEJACBk0kTPLAVQCJbjhVUmdtt2/dRCSNEGapkFX3K1TYN1W\nxu1J0MkydDpZ1Rl3lx3lRDQucoAdzHCq+zPV4NnZ+SRSIstMj5VOp4NOlmEymfhwTnRaM05FCtf0\nT/qcISdm6gMqSikBpaGksgZL4LgA0D40pM37qyr3LU34G5GQ3cL/igghhBCyENBpIWQPcPkrjaqX\nIFwgfS+PuNzZh21sOZAzQqSU6HZM6/nhYAClxqiPujEtHUVAQCYS3U4H/X4fS/0lk6chZG277WH6\nnkxJB96pgTM7/3bqk9I0Qa/XBQAsLS+jv7SE0XhsmuoF2TVteSxVzo3wCdJZlqHT6SBNM5NvFJyY\nsC3+tW/UEjVs8T//3NGUFrb0XULYz0Uq+RuRkN1C0ULIHuASboWUUW5DVB4cjD0U57HA52pUYQkg\nSRJ0uz0sLy9jOBj6Ema4Af0atTAVUkh0Ol2s7tuHAwcOYGV1BZ1OZoXTbInQWngTrms8fbtdW+aT\nKFudh5QJer0+AGBtbQ3r+/ebsYYKM2Bi41iBerH1U/YaG+HT7/extGTEnQ/TIQgRaQCuoZyUpmGL\nhDGsbdWSFqa/S6N0m8m4hOwJlP6E7JJb/+WLfS7LPP1LGn1KaoLF5bZkWYbl5SXsW92H1dVV9Pt9\nZGmKLE0hpTS/4kWQsGoFUpok6PV6WNu3hkOHDuHAwQNYWlpGmqSNfiVtU5WgOu80PZW3lkI71/Hn\nPQ8pBbrdDrrdDlZXV3Ho8GEcPHgQKysr6HY6SJLa9QnPSJimbx3rRPX7fayurmBlZSUqXXfvBcLX\n6Y4/53tcVZUJ3PIDLz7TH1dCFho6LYTskk6WRqEhEY49FFXfmO3DdWEJkF9iN0zTFEvLyzhw4IDv\nZuv2MRrZDre2zBd2n25QwJXlVRy+4DAuvPBCrK3tR6fbMUJnRmzIuQ9tTVemeik1s0dP6dTbCChN\nMVtEuDI6j+Y5CAiIxGy01F/CwYMHbSdcID1+HMPREPkkN9cpHIvA9k/J0gz9pSXs378fAHDw4CGs\nrKxWTgusEtTGafF9alx4zFdH6bjbMWLx4hrnSSnRyei2ELIbKFoI2SVp4sqJZZSrEpf7VmJEhMIl\nEiuo3fxMVczqvn1QWiFJpM/hGNj+LWVRmFCRrRTqdjpYXlnB/v37cejQYaztX0O/30eaJD5Ho2qD\nUh0rPGbUXEUHciEUD22CRk+XN/X8EMx8XEtycWMHuZ4sLrFHVxKp0+1gTewz1yDrYGlpCSdPnsTm\n5ibG47Efh0j4kbAz9Hp9rK6u4sCBAwCA/Qf2o9fv2Wot4Y/hq4h8dVRVUSS0CwXp6hqK+D0OHTi2\n9Cdkd1C0ELJLUltKHN6c3M2/Ck+IhljwiHiZ8JsJZGkGsWx+qWdZhn5/CQAwGJibcWFFi5QSWZah\n1+thZWUFK6urWFlZQa9rb8IyDs/A31Slb58v7bz0AyqGgsSJFW0brgXCwT2uzbvX6kIqbfP+ctQE\nU/iv0so0j9PKNMtTGtrN28NIISA6XawKiTRJ0ev3sLa2hs3NTQyHA+R5AaUUhM0Vyjod9Pp9rKys\nYHV1FQCwtLSMTreDRCYmhUVXGS3VidZGjxTCCBd/xlbkRCXs1cTOuITsDooWQnZJmOPQbLQmWp2W\nKirU0hRNBOEHIZCJDMlKgl63i9WVFQDAaDzGZDxBUVrRIgTSLEO320W/10e320WWZSavw4aFQnEC\nmxAs3BADUkImie0rk3gh4QlclrAPig667ppJ2fb6Zn11TWTj2qDu8LQ5LHbU6tKNzqwUlFJmaAIV\ntPHXVihI25umk2FpaRmj0Qjj8RB5XqCMREuGbreHXq+PTsf0eknT1PbSET7MpX14qN5XRptBn30T\nusBpQfV+N3OYdlpiRQgBRQshuydMMnUVQ1UJc+UahE5LWxVO/YYW3sgTISE7GZLE/Cfb7fWgSgVl\nu+UKIZCkCZIkQZqkkEldJFT5NlUVk0QiE9sUL7FTiiRNGmIjfB1tIaFIuNixjuBEi6ydSz1MFe7T\ni6BK/JRFibIsUEoJWZYoS4VSlGaMHzs2olYK8MMiSCSprbxaWTbPLY1bY8SIdcWS1Cbrysb1jxwW\nu06H9eZWsGjrtFRXBD6UHgAAIABJREFUR1f5SbUBIXdeE04IcVC0ELJboiqXyjtxuQ1uXRz6qO+g\nPlfvxSoqBwQAkMQ3UVvm7NyU6ScaPor67MfCoj7gow8duUqnZhgHqMJDWlnnQQYhoXA7BOMGWXHi\nQkBKKSglTDhHqeqmX6nBloEjY5lhhIlEKlIkSeIFiwv5wLseVbgsvJx6xp4bjwKnJbykXs76cFzb\neRNCtgNFCyG74JYfeDEO7luuhXeCm1aQu7EXVHpERqLIHVhUuqCRFKugIJWEcvYEwlwU7QcdVCox\nYxW5hnl2XmoJWBFTJe9WYgaBixIR5LmoWk4KACilfNhHlSoIB9l5566oMgoRmTCR3YfPcbETwsRY\nYQdO1MH5BCe3h/jydZ+7Y5f7RCXzmbn5PR/a0+MScr5A0ULILuh23H9C9g4VRhCCG1XofsQOSvuS\ntnW2SChabvud2U00tC3H1SIcnlhbN8A2PrNDHyulIIVEKQVkWUaDOYZOSzV+khUvdhncOEpOyASC\nxnX/VVZEVHko1VTa8uRQrEQCJnpO5cJESbmBW+NybcJKo0qgTBcs9S7Ds4WMbn3k31+f29LcyMnX\n6jNDCNku/K+HkF1gbt71HA1D82bo15jMirpW0TDJndMeIyrKmS5cUPUScZ6Dyb/QtQodASWUF1XN\nHJggJBSGiOw8XHffmshx4gdAJDbaRAisaPFCxObD1IVJOPm8l6BKyefDNMRJHPPZWrBU+5r2eOr+\nW94nR+VACS/4CCHbh6KFkF3SCNPo2r1Mu/LZuBObDoSH21DYWlvtknVDsRHIl8p10f6Z0OF51Pup\nVCKoqoZp9kZxosb/rVXDIGiYBhceEqKlbDpwWhrlyrXwkA5CVEFib1RmjTZR0kxCae0TMyUc1Oaw\nhNcsyrtxlVPBfLWgKr2uX+968z2mtBCyOyhaCNkF9aTX6KYW3UI1mtIjfGIV+3H+id/e9zXTUX5M\n03WpxIs/P7ioVXgnrs4odGTCE2s0gwvcmSgRNqiUqfdhcSfZ3sdligDRwTWbKkxqL6RxLdvWThcr\n9Wujm2vanxjtueHh1D4LPoDIsmdCdgFFCyG7QE8rOak28KMDi2gz63bo0HWB78DqnRkhKi/Gui4O\nt8c28VKdkmicV5w0HIuEarbqAOulVF3U1HbY7HqLdgEyzRWZV5Q0tp2xQbhkC7ESn291dlpXLoub\n0f5/8fOixnpTTqde9UUImR+KFkJ2gUsm9cGf4IYU/0qvbpKh3+JCREa8WJHihAtMm3ijO6pwkd9l\nLWwU3Qu9fpjlOTQFTbDGb60bCqTNARFV+Kuleqj6M8cNewsduK21rZu0hM7C84tymCsHqBIr9dBQ\n09qpOzThO199Zggh24UZYYQQQghZCChaCNkFN7z7g1BK+/iNdj/KdfWLXQe/0OOpanimg+ci+IXv\nl2kd7cOt1EGoIsKtq0/1jaZM0f+m7ctFQgLHodEdN1jm3Yqtpij4MmuKDI/284pebfV6QvfHH8vn\n3NTeAx1sVwsNtb+X7vqH+zOfEaU0bnj3B/fuA0jIeQbDQ4TskjJocmYIUjGD6IIIbrQI80JcvbLL\nWdEmmdXdNF2oCOE+gnIl4W/A9bwTNGM1rUmqLURP042IT22XwYNZ/Wa2prHVjtM/6km0bbO69XqE\nOSdh4nD4nEqUVGIn3m092wXQSjM0RMguoWghZJcUvkurhpbOmQhyILQdfC+quAlvjpV4EVpUjeFs\n6XFDvCAQMAJxVVLj5jwlzyQ6csvKWTkas3DN1erP29Pc09bC5i2Psy2xgiAXxb+P8QCRbjvt/wn7\nxwROi9ZQVrAUZbnjV00IoWghZNeUrourvTkpGZS7BqEFjy/MEfUFgXAJYkU18YI53Jc6YsrNvDU5\ndpsVuZHwiZJu24+4bf2yjSfMOm7budUreSKxgrpgqYWFwvAXYhHjlvjPhNb+c0II2TkULYTskrJU\nKEvb6VUKKC3NvBCQwt3Y6v1cwpult168cDFipCZeosH92t0Xd0tuFPDEdc6zX9Bsc2bK5ntqpWxj\nj7MtoWn7qIeA3NZ1seLW+7LnwGmpnJQ4F8k5K8oJWdsR2H1OCCE7h6KFkF1SlLHTor14Mb+wpdZQ\ntax33QygwCayROGiSLxEMY1Q6Linx+MbRUxL8Kj21kBvtcFce5l93O1ushtp1Az/oDX3JRQr7nmR\ns6KboSJVG7Fa+cEhVeS0FBQthOwKsUWjo73/+UTIOcjtP/IyrC71kaUJ0jRBliRIkwRZKpEkSdT6\nXvqxfdw4P+HYP7WW+uHIzWFLt2hMIoF5m6y2jsK8yIRJyPNsHrhRVb5KvDMdipl6eCjMUwkESzgk\nQVmWyAuTv5KXJYqiRF6UWB8M8bqff//evn5Czl1av6notBCyB7h8hUQJKCVNXot1XqTQULJyWpzr\noux/lXHfARHVF8W1RvVGb06ABDkx4W6as7VKmHOT6abSlCECoj9VJVA13EDssqiawxI5Lcq6bc5t\nsWEi5rMQsjfQaSFkj/i5f/cqdLMMWZqYKTGuS+qcFjnbaYkHInSDFlb+iqgl2oYPpzko85kqM7ba\nUVJuLLuwky+SXX4ttW7ROgo0ag5LU6wAsbPS6rSoymkpnLtSGoclL0qM8xz/9md+de6XTwih00LI\nKWUwmiBLU/8Lu5QaUmkooQApIe0PbSUAKZtOi7JpLD7Z1geEnAcQtMqHM2JmyYJ5Y0Zz1Qm3P7X2\nuO4l1MXLnLudzdypMc2s3FCo6NhoCUZ0jsVKOPJ0w2lRsdOibA5LGVQNKa0xGE1284oJIRY6LYTs\nIT//2ldHLkvmnBYpIWs5LUIISBk4LaicF1fm7J0XVMvcgnDQwroLE7KdwqHZiJY5w3wVRKIWqqqz\ni68b3Trb2Cge37LWr6VlkESEzgoqp8WJlTDxFla0FNZhCd2WH/mpX9n5ayPk/KT124qihZA95l3X\nfx86aYIsTX1SbiLl1PCQjBJxq2RcJ0Tiv4ZYzKAhCCK2zL1dtMzcmd1Ypq72wqptQMQwATf420zC\nrZyWtvBQqVSQfFtgUpT44Tveu2evnJDzCIaHCDkdTPLCCpIyECeAUC4BxTgsykgTLzjCUJErfBbB\nvJ7ppbTcqeu966YKm8X/bTItHNT6sM1RQZDzEogVJ16U1o3kWx2EgJz4KW0/lqIsUZQKk7w4dS+a\nkPMQOi2EnAJcUm4nTZBlKbIkgZRVkq2MwkMtibm+7Dl2WtrKnMP+LFX4aLp7sm1fZRvZtNM22Vab\nl21862y5qW7KmXAgxLCiqO6w1Mud62Ilclus05KXJfLcOCxMviVkV9BpIeR0MZrklRCRJQQEEuuj\nSGupCJjMVSHMMiVg81vsZK0Vrau+c16oTHFgtBMzM36M1Nc0vhnq+TG6ub/t/pqZK01Yt4mtZon2\nto/d6M3S7MFSbRsk4IaJuC0lzqHT4jrdeoelKDCa5Ns8U0LIVtBpIeQUccePvhy9TmbKoDOT2wLA\nuytSyMpdkc1cF0SlzyLSEi6whJZmdMG4jHNSz48JaCkNnodpVUOn8zx0NBMLFV/SHOw4FDRtpc4m\ndyXsequ8cMntQIh5bhyW0STH9e9837ZePSEkovXrQ7YtJIQQQgg526DTQsgp5Kf/zSvQdW5LapyW\nNJFB6Ei0VBMFpc9hLktU8uxKoqttUE+1rf1Oaf5smeKDTMnrNey+UHmOwuwdnUtjs3p5cyNvJU7K\nrVyWYJu2kJCtFnKPi1IhL4zTMs5zjCc5XvPvf22Lq0AI2QLmtBByupkURVRBBLgcFtPXX9gOc8KW\nCgnrfYpgqlcSIVxey3cJb9yiFqNplxsi3GTahlvJg1kbN756ms+uXllrnkvrwxnnUG8aZx/VB0B0\n80BteVsCrpqWz+L6spgqoUleYFKwYoiQUwWdFkJOMW/9wZdiud9FN8sAAN0sRRK6LbaKqOm0TKsk\nQmv1UMONaaPRs2WnPVpa5MPWveVqR9xNf5haVdBWGqZFqMR9WdorhuoOS71qqCwVxnmBcW6SbjeH\nY/zkL/z6Ll4XIcTC5nKEnCne/K+uxUq/CwDod7voZEmViGsFS1sZdNQVt60jrhUhdeFSZ1bjuVa3\npcbUoNBOvyGmdPCd7xymD/rYuri1022zI2575VBtAMTAdVFaYZKXGI7H2BiOAQA3/uJvzPXyCSFb\nQtFCyJnkln/5YgDA6lIPS90uOlnqHZa6YInclppwcdRdGKDZzn9GuxYglCvzmh5B+TB2q1nCR9s8\n/lbHjb/WprspmBIiargsNeGilMYkLzAYj7E+GOHmX/rQnC+AEDInFC2EnA0c+YHvxupSH0vdDrLU\njkvkxIsdo8g5MAL1EJGhLmJ8Qi5CDdCeiTsrEbYucppfD1t/JWzZB2bG8f2jqecxI7um5VwrVwWN\nvBYgzm+JQkMIHRVtBkJ0eSzKJN4OxhOsD4Y48p7fnOsVEkK2BUULIWcTt//Iy7Dc6yJNk1iwSNvD\nJchzaea0tPdwEa3ioyZhWr4Ktg4QoZlHMn2TaQfYYtXWx59dIdQy13BY2nqx1LYJ3BSlVTVasxUu\nRVFiczTG637+/VucLyFkF1C0EHK2cdsPXYeVfteOBC2a4kXKauyiqHFccyDFhohxTHNeqtVoPCFi\ndjnRjkueZyfaTD3Y9ONVzkr0zFaRErfrd8924wwp1RQrSmkUZYmN4Rg3vPsD23zVhJBtQtFCyNnK\nO1/zvUikbISKEuu6mFDRFjktNTdG1GIsjW+AtjGLdkC7+xHUW2/ZL2aHx9piaIFQpIS5LNNyWjRg\nQ0IKpWqGhEql8KM//R93cfaEkG1A0ULI2czP/btXWeFihEoiQ9dF2jGJQtESOyuzyqOr57QfW1QW\nztbUk1y3+Tobrs82jjntaPXEW7SIlXpDuTCvxW1fCRUrXGx4qFSKgx8ScnqhaCFkEfjZH3sV0kRW\nAiYIF9WrhJyQicVLS5go0gjtSS2zfZkpYmHrTVp3OV2nTD9uPfSDNhETVmKHlUD1x/UQERCHg6xQ\nKUqFH/tZihVCzgAULYQsEj/9b16BJJFIkwSJrEQMAmFST9JtdVqmNJwT8T+I5sInzE5paWG++qG5\nUlpa28HE/VUaR54SFooeBwJGKbN9aUNARVmiLBVb8RNyZqFoIWTRePsPXYfEui5pIpHYkaLTIFwU\nOStB0m4jnOT+neV4iClOjMVnf+zFN0OgkGY3lWser1kBHXsuzk0Ju9ui1oNFa6BQCqUdobkojWgp\nS4XXM9GWkDNN69cCxx4i5CymPHQZuv0+hvd9zooWc4NNZYIkkdHgika8BPNevFT5Km1VRPXyaAE9\nb/VzbXa++FDTzZnxvKDHil/Ulr8SbGJclLAVvxMv8XhCZalQKOOqwIqW9975ZyjLEq/f4pUQQs4M\nFC2EnMV0OhmSRGL/k55pqoms0/Llv7oLy/0e0ki41MWLaLoxNcIOumGkaIsRjDxTBUtQPFQ7Yvvi\nqfuv4kPhsdoM4rqLUomX5lhCRamwORzhMVc/H7/4n4yrcuLkOgBASjnn2RFCTjcMDxFylvK2m34S\n/X4PWZohSayzYm+ooVD50p9/HKtL/ao8OhQqgdtSryZqiJRaMm69ZBpTwjI7Y4swVb29PqqOtcB0\nB6bpsrjeK6YaaH0wxOOf/fWRgLnnvvsBAL/xu/+vX16WJb74xS/u8LURQvaA1t82/ElBCCGEkIWA\n4SFCzlI6WdZsOBeO+GynJz7nG/1zvvhnH0OWJUhEVS6dBMMCxCNFt4waXa2qVjSY1ZO2vXhodjho\n+jF0lDsTdq+tSpgRVAFFjeGURqkV8rzEE57zDQCAC2sOjgRw8UUXADYUNx5PzHKGiAg5K2F4iJCz\nkNtufgN6vS6yNDNjE/mSZ3MzFVEeS3zT19AmndaGOu79yz/xjeoS210XVio0Blyc2qBuPhpRo230\nrIv209q9Nu5i6zrYAkCplW8I97hn/QN/Xdy1iPeto2mS5wCAX/+dD+P+Bx6sQkdK4e67797mmRNC\n9ghWDxGyKGRZisRWCAnhclVEIDKmixagymPRWuNx13wdtFLR84IN8fd/+adByXRzXKMwWdcwveR5\n2q+c/9PevTVLcp3nnX9WZtU+9AloNAACpGAJoCbscITtmQiKggBpYjyfYT7CfISxZVG2NApZlu/8\nBebOl3bMXPliwjdWUBQOjVHY5tgmhyJpkeYRRAN93HtXVeaai8yV+a6VK7NqN6q6d0r/n2Jj1yGr\nKiu3pHz6Xe9amV9wIfds6Ecxt0NYaYPKL/3370QzhexvV/SNyfZYTNm0U55PT0/i3btsYgNwcIQW\n4Ir557//uzo9OVZhA0vhJkKLMgvENY97L6mWfKjQFP0QU9jmza/8j3IufJa5qrS9b4JMVJ21w0pO\n/cJtIUSY94uW4rdv4ZypovQNst7HV11u3reOVrStQ2ip+88Lw2De98ei56P7de1179PPJEn3Hzwy\n+9P48pe/TLUFuEIILcAVs1wuVBShLyUOLMPQEoZzwonWd/31IQwURXPCz79H/162muPaixkVSUWn\nGzpK90N9I8zYQvxdCJGPgk36mPdeLiwG14aWwjf9Kt67LrR020nyLvcdfZ+kwl55Sa6/v9lsutlD\nj5886apTAdUW4GohtABXSFRlScJKNnC0gSU+udrhHddWJ5wJJ/khpvB5RVdZ6asWNrTY6dOuHT8a\nXKCxy1B28bd4Rdp0uf0otNQh1PRVFle7aJtQgZF5z2Z3Qmizjbyu2w/X/sd76ZPPPtP3fvBDSdLF\natV/J4NqC3B1EFqAKyRUWYpQZZHT4ydPdO3kVOXRcktoCRUEE1qaWou8i9d2UVqtsbOLMj/Na9sg\npTi02OsfKTnp+zS02CssJ4HDDgM5F1ddvPeq5bsAFlVk1A8hhebifG9NHEbW65W+9Z3v6Rf37kX7\nOngV1RbgyiC0AFdEmDEUpjg75/Thv/8P+vnHn+h/+Dt/W2/+jTei2T42sMQr25oQ4SR5pyIEjMKE\nFhMy+ipLXOEpnIuaW8cqPqEyE5gWFilpmLU/SlaybSostelh8fK1V61arpBUF5J8NzPIm54W1wYi\n55pqis/sh+S6adkf3/tU3//BD7Reb/pn2+GhNKi89dZbLDYHXAGEFuCKWC6aGUMhsPzbP/lT/adv\nf0fOOZ2enujVl1/WC7duSCEsDEJLIw0t8aq4w2Ecp6SSkgksRVFMhJa4stMPDZlfg4sV2pVs2wpL\nXcsXUu0LFXWtOmxQSK4uVKhW7fok0vxqh32KUMXZbZWGuq703378E33WLt1vpX0tYt0W4Mrg/xKB\nK+Cf//7XVJZlFw7e++jP9R//87dUVVXXLPrTn3/cbZ8GFieXBJPChI98Q6/LNdraUNI22OZnLMUh\nKP7suEdm9P2N7nNMU+/0UNXws4qiSJqJzW31w1rOOV2s1vrZx7/QehNXWaJ9Svb1rbfeOuz/EgDY\nikoLcAUsFstuTZY//4//Se//P/++e845p8dnT/TxvXv6m3qre6xbVyVUXRSvtaJk0bhcw6wd2pkM\nL4NeGstctyhd08X5ZqjGuab/ZLDmS6/pj/XNtslz0fcY5U0fTzcyFv4Tbbe6WDUXSEwqKnZ4KJ1F\nRLUFeP74v0LgOfvj3/taF1g++g/f1Nc/uDsYnqiqWg8fPuofyM7oma6cbP8xFZsuf8SVj/bDJRua\nusfUhYb+J66epOvJuH6mdFdtSV9vKyRP8xMdk/Z/Hj5+rAeP+nVZ0ipLf5iptgBXCZUW4DlrelkK\n/btvfKD/99v/n5QMyUhSXdc6X61UtyvbLhaLaFhGg9tKKin9bxs+crOAuiRhA8vo3iefp7Takqu0\nqG+IVdufEpZRCVUOmSejpuF4cbi+cSZ3gaN4W7uk/5Oz86gBN/pGE9WWsXAD4Nmg0gI8R//sn/yO\nyrLUn7z3ob75rW9Hz031WIxXHkb6S8a2tUM/trKhfGBxymSDZHjIRdWW3NCRG30v57pXDfdlME17\nh++YqdJ4tQvVpfOK7Oyn5Lb9odoCPD9UWoDnaLlc6rt/+QN98798e1BdCfphjiJeHt8u9Bb1q6S/\nTRhIlt2PVrjtlu9Xf6LvdiLZpn84Gh6KlvQP83u8k3fN764y4vqZP1EtpKu69NvGtZb8QrdS+uSY\npoLy+MmZ1utNtpqy7T7VFuD5odICPCd/9I//kbz3+rf/7k+zQSW1Xq9VVZWqqrp8b8doX0gagKLU\nEnZGg3qLixJL/OygkbcPR30TS+7EbwKB2Yf4O0x8jx0rTN43x9KGxNzxHvubUG0Bnh9CCwAAmAWG\nh4DnZLlc6l/+q/+raxDN/Yvf3l+t110jblo9yQ8PmQrHoAnXVA66YaPhz3gTrsvcdKby0twIra99\n/4gzAz69qLskNO3mPtK7rufWNtbKDgwlF0VMlUWh2vvuWA4+ZuSiiXalXIaIgOeDSgvwHPzh1/6h\n/st3/kLnFxeTwxD2saJwWiwWzcyhZDgnXfE2em5kGMjONsoNxygd9sk2z7rhLdPwMnZqj3pyzT5G\nL88NV6XfQ8Nho3hhOkXfV86prmstinKw7ko20E38bd58882RbwfgUKi0AM/B0dFSX//go8EVl3P6\nE2XSiJupstjqSVf1sJ+h0FMybKCN5+mYE3bUhOsyYcQNE4uL70pNlSRMZu4XfZOps7j2yszxdOOo\n1uPSSorPfVDo9DUP93e893JFcwnobY236bGw1RYWmwOePUIL8Bz82d0/z7eiJv/Ct0Hm+vVrWi6P\nusf7kBJXUuxwkEyAiX7LZA0XlutXFIS6zxlOTM424Ib7zvx312sBpcfAt9OIwiBT/AntwJDvc4/L\nzCiKh4vaG96pLEt577VYLFStVlEgsZ+f/s7tJ4Bni38qAM/YH//e17oLIe46hXa5WOjFWzd1dLTQ\n0dFidJ2SwXBQdqhESZUmHh6S6WfZha3YRI+5PsBE9RKnKO5k5xJF063N0FV4bvAdx79veh2j7orS\nTxE60r8Zs4iAZ4tKC/CMfXr//mTDba7KcnR0pJdfuq2yHZLoT5xJD0vSYNtniWTqcRJM0ubb7rHu\nPbuRIZlXj5Vaus/y3WosGtRcusdDZajbynVXhU6bcrvrEoVrFNkFce2w0cjQUHd5aEn1yHWH7O3c\nY3Z7qi3As0VoAZ6Rf/ZPfkeS9H/+m/97tNk2xzmnWzeu687t23KuMNumjaaKqhFKg0tXvcgPD+XC\niv0s2fdK9zG67aIhqOHoThtnotSSmV3kkvAS3sMGFhe/rh82amcWhdXqvLlWgJyqqu6uSbRrT0su\nvLh2zZbvfe972b8dgP0itADPSFmWUmaIYVuVxTmnl++8pNOTYxVFf+LNB5aRkDJ4rHvzqGd2e4hK\ng0vchBstIhcqHp+nryUJL07xdYy6VXUHQcZF4aapxPRXgV6v19lwktuHsQrM9HECcAiEFuAZ+d4P\nfjj63FSV5drpqV55+Y5OT05MpSUZnkjCi5QJKdnZQ8Mgs1NwmXg0nYWUjQYuN3uo/8yxqoZvA4rs\n7UyQ6UJM9/7dvCVVda3VZh2Hokwj7mCXacgFnjtCC/AM/PHvfU1/+v5dKVNpSdlqy3K50Msv3dZr\nr7ys05Pj4VWZ7ftpJJjkgkvmfjpryGwSLT7Xv3GugTb3heJckhsxsjdCLkhnEXnvu0qL7O1MkBn2\nvvTDQ3Vdq6qGF0xM/wa7zhzy3ncNuQwTAYdFaAGegbIsdbFeS1K3NosmqhquXcvl5Zde0q++9Sv6\nwiuv6OjoODslemp4SF0WGHt8fIio35++nyV6vwnbpzqbNVvC25nKSzQME4aGtlRamh7bXGDph4e8\nJF/7zDTu8UpK+hwNucDzQ2gBngE3eZrvV2wtykJlWer6tVN94ZVX9Mu/9EX9rV/9sm6/cEtFUQxC\nThpYXOglcflQsutQkK3oRN8i+yXiB21/bKZGMXzUxc24fWAZVl3Cd/XZSks/NKRuyKjdmbD8v5dq\nX6ssi3aorYp35ZIziHLHDsDhEFqAA/ujf/yPmhVYW+nwz9HRkY6PjnTt9FQ3rl/TrZs39eqdl3Tn\npdt6/dVX9cKtm1oeLaNlU0YDy1hASdc9SaJGrrpi6yxmy+3Th7zPt6uMjQvZwGImKPvw37HwYCot\nGqvChCCjrtzSDYOVRaHNRHVl8BUz26aPMZMIOCxCC3Bgi8VC9x8+jP41vihLXbt2qhdfeEEvvnBL\nd26/qBdv3dILt27q5vXrun79mq5fu9bOGCpUaDjjyParRIFlxx6W7H0bXKIm33Rac3qjla6ur0y5\npa14DPJLmA1kpilnpyRLg54W2SrMaI9Ls3NF4bQoyy5I7tqImztGuTAF4HAILcCBFYVTtam0XDb/\n57ZcLHXz5nW98cXX9caXvqjbt27p5o0bOjk50enJsY6OjrRclCqKsg8qucbXZDXbycAyFU4yJ9s0\nt0yt0ZK67NL9/ehQqKzEy6soDQmKh4jCjg7CjLkdgova/qKTNgxu3bcdqivp/gE4HEILcGDOFTo+\nPtYXXnlFkvTCzZv64muv6kuvv6Y7t1/UycmJjpbN1ZvLslRZFG3/SjgZ2isyh6GdpNIibQ8u2fuK\nmlKHw0PZltXRe9F6b+Yxu62P7mnwSBjOSYeHwv55NWWaruqiHSst7XssF0tdOz1V2fYI7TK9eZfq\nizQMfwD2i2sPAQCAWaDSAhzQH/7ub+v66alu3riuv/u3/5Yk6eb163r5zm3dvHFDR0dLLYpSRVmq\ncEV0gcF+1dtM70jSw6K02jK4PayZDIeEkmbc7rf90G18Zrtdhkxcf10gr0FPS1RtacephsNDvn+L\n3PBQu91iUerm9Wu6dnqqx4+f9BcQuERT7pQ333xT3//+9z/3+wAYIrQAB1QWheSk46Mj/fIvfUmS\ndHJ0pKPjIy0WCxWuMOHDLOTWjwT1w0NmpdlBMJla5XZimnP/0vj1cV5Jr9A8ob3uT/rYpCivhKGh\nvqelzzHNrcGxp75xAAAgAElEQVTic93buLYtJtPXEo6D91osFnrh1k29+MItfXzvnlTtHlQu06QL\nYP8YHgIOqCia6okrnE6Oj3RyfKTlctE+3uhn/rg+uXSVFmfvmp98L4tkZhbpcoHFPNA/ltzVILf0\n96ZO5UnbavfftL8mfstBN3BXfbLfJ12UL3vhR3OMyqLQiy+8oFfu3NG1k9PBrCz73uljAJ4vQgtw\nQLZi0c8EctH9EEzs2itxpcW8hz3ZJ9WVNH9cNrDkR4VG1mvJDVmFaOKTH/ucfX3m7uAzc7klCS7p\nd3PpC1x6jJxeuHlDX3ztVb1y56VmSvmOM4nS27nVcAk5wOEQWoADCtOVo4CSBpbk6shhxpCdNdTN\nHDJNLtHJ2cWnezcRWPpAlAaWkSqLMs+lRlfAHc8tk+89GI9Kg8r24OKSY2IrUYvFQm+8/rre+NLr\nunXzhm7dvLFz2BiryhBWgMOjpwU4oL4PJR6CsRUWpeFlqgG3f+P+l8sHmP7jxsLJ8LFsxeNS5+LL\nrtKS6BaeM70tZr1c5/qelnBfuYss2i8XLrpopj6XZambN6/r9S+8qp/+/GNJ0sXFSk/OzrYu5T+5\n+3tq5gWQR2gBDikZ/lGuymLGfNJhobQFNx3m0CBopCNElwwsgxlDduP8V+zmC9mJQz55zUQlptsu\ns3Ju6MjtZv9kgkuz2/kGXWd2y/4uikInx8f6wssv640vfVGS9OTJmeq61vnFxdheEkqA54zQAhxa\nGB7SMLTI5WNJtBJu92MTzUh1ZWSV28sEligKbS21JFOc0/N59vw+ddK3a/z31Zbp4DJ8LAoX6RK7\n7XsdHx3pzksv6lfaWV3n5+e6WK3lvdfFajUZTggvwPNBaAEO5A+/9g91cnLSV0CKNLT0Q0Bxy8oO\n4zFJQWTweyKw2KnUyuWSTLHlWXRruKRA4zMP9tcs2j24jFVbJOn66am+9PprkqSL1UpVVet7P/ih\nHj56pNXFSpsqvgp09GnmGNsAUxSF/rtf/VV95y/+Yh+HBYBBaAEOxcUhIpzkimhoKGmytQ24Sf1l\nbHhockgneSJXcbGpZfgWu8QV3/aghHv5d/DZZ8f2N13aX2lqyfa05MeZ4qGmrtoiqShLXb92Kkl6\n65ffUFkWOj090Y9+8lN9/It7Or9oqi9VG17G+lvC33axWOjkuLliN4D9I7QABxYNB+V6Wuz/xNkl\nGRbKBwiXudV/drrdtiEis822UaFkGz+ywaVHiGSzRxNUxissYd/7BmDnpOHIjWuXrhteC2m5aP7f\n4PVr1/TmG2/oxvUbevHWTf309i/0k5/9XPcfPtTFxYVW67U2m0p1Xfevb/+ORVtFu3Z6otdeeUUv\n3Lq55QsCeBqEFuBgkr6VdG2PwTot6dotSaeLi1NIminc2BOje6fRwHL5oaGxFPIUV3we3M4El11n\nKbn46gCDzzHHc7lYyl1zem1R6oWbN3Tn9m29+vId/eLep/rk3j09evJE5+cXWq832mw2qupKi7JU\nWZZd8Ll166b+xpdep9ICHAihBTik0ICbzB4qXDprKB9WbKUlqrXsYU0Q39VBXNfrkex89mbmTYaP\njbxN9nm73cQwjze39tICa678LEneSWVZ6vTkRItyoZPjY9156bY+u/9A9x881MNHj3T/wUM9OTtr\nqi5VpWVZarlc6PjoSJJ0cnysV+68pMpUYwDsD6EFOJA+b/SLyskOD8kNw0q8hG6/GJ1Gqiy58JJP\nIJPxJP+6iW3TzT7P87u8aPQ9tnTK5J5ww2sSSeoDjHNaLhcqy0LL5UI3bzQXuDx7cqaz83NdXKx0\ndnGh9Xqtsijlin6hu7r2Ol4udXZ+/hTfGcA2hBbgQOw6LIPr2+SCi9L7JqyYlXTt+/d38vsQZvqO\nMrlkLNR4Nf2v8XbTMi0vo9vYB/LhI6msbAlBozORzVCRzKJx4QU+Ci+uuT6UcyrqWsXpqU6Pj7Xe\nbLReb1RVTW/Lar1WXdVabzaSpKpqnmd1XOAwCC3AgRTtFZ5dEjiG1xrqxoi6GUeDsCLFlZbBtXV2\nSyZNiImbZN0gubSzgUxa6W+GysZusWV6Ox/d9MkdP3wiCTDplGdNJprmKtD9+3WzgJJKSxNefPiq\nTXApS0lOy4VTWZSqqkpVVaksizakNNuu5LXebHa6lhGAy+P/sgAAwCxQaQEOJOpVaYca4sfTReX6\noaNchSWttrRvNpxFlGwzGCJKxm766ouLhoLi6op5TvZGRjqWM9XEO7jp4+JKUoGJKiuZXUgrL+ma\nKk21JbpYUV9hSe+b4+68j/5OReHkVajwpYqilmsrK4PeJAB7RWgBDsRJKlxhZgs1J7Kim1GUacSV\nJsNKdCrMBJbx0RgzRBQ2NWlmEFyUhpj+vi6TWSa2HT7shyHF3o4CS24G0cgHJRORXAgkPlm3xV4q\nIJlZNGiWbv+G4e9aRDPDil1nnQO4JEILcCCuKOQKc2Izy/j3fSjxyrd2IbnJKksusEywoaR7LAku\ntszifRtRnK2wdF2sW3phfVTN2an/xfe7EHY4rb4o+1y/zWUuBWSDi+1psYHFhwajUGmxV+E209iL\nIgmkhesqLwD2i9ACHEhhKizNtFgzhGBmFdmVb/sqi7mfqbJMF1Ty83tGg8tEVaUJNX3w6MLL2I4k\n4SMOO8PthneH1Zbx6kv/yvHAMjolqauyuH7LbjZR2ozrXXsJga6BWmamVxFdV6owlRcA+0VoAQ7E\nFf1JLQwTNU+EIJKZRTTWz5L8nuLb4JGrxcSzh9RXVezwT7bHJR4e6t8wPulHT9jZQ6PbJa+Z6mGJ\n7m8LK2282VJ9sT0vdjbRoK/F2yEi3/7tTLWlC6RFF1IB7B+hBTiQEFQG1x6KVsh1ceUl28/SvF9u\njZbRE7NvnsuFnDQINCfr/nbYxg4PqbufvpuLqyKKixv2NfEw0bDUEu9WXFGxzbTpxQpzJrcxU8S7\ntVrCa+w1GW1fi5Ocd9HfTFG1JW6yDiEGwH4RWoAD6Sstw2bN6OKI6oeD8s23brTSEgKQRk7U0WOZ\nf/w7ZSoN4XbzBt1FFe3IUDzAlN7q7/kwDSlTp8nHiri6MhZWsgv571BVyT1mv3MIe2lTbrOBb6tQ\nioaHikxoodICHAb/HAAO4J/+7m/3lZYiWRW3yyYTK+Cq72fZdWho61RbP/zx3ncn7fHbITB4E0aG\nP+FDmtemrxvbvn8mvG56X9rb4ztw6eOSq5R00dHO6EoWAwzXjoqmrxd9peWf/u5vj+8UgKdCpQU4\ngGYGiWnEdcWgctJdMNGGla751qzZMtnTMpw1k65Nsm04JdvXkW4TDe/46PHQ0Zqvo5ihp9Ftux3t\nHk/34bLfJ3e7f0yKakW5npbwHXy6vH+XZaI+JNtk3c8gotoC7BuhBTiAvspSmODSPDdYm8Xl/0Uv\nc18jJ+DuX/xJeInCh7m+jhVmzoxu56LsEU8aMrOkm9XahvtgtmjeuhsqGmuiNZWWJNn45AVe2dGu\naFr4YCgtCSvpdvZaRN6+3jTl5v52XcDspjyHtXkoZAP7RmgBDqCIqiyuX1CuOxkOF5WLllwdGRrq\nT8RpQGhmteSKEDZv5E7+4yZSS3ab3H6FLLR9O5kAld3PtPqiPqTY1qDsN8kElq5XJ6m0xI25JgS1\nz/V/l364qEj+ZoVZlwfA/hBagAPorhBsFh/rKy2mGdf2roTKysgQR1w4yFVY4uAyNtRjbavGjBuf\nwDz8zHzgmWocHg1Xtml2au+i46cosOTvh+ngaWNuXF6yi8xFvSyh0hItJkilBdg3QgtwACG0NEMF\n7eJjZqqQLap0w0NJw2juxJvrKokrLCMVETdctj6qe2TLHv25fXQ4JiMKHBNhaNC3Yl4X+mCi55Ko\n5NJ9Gg0yE4HF9OqMBb5+enmopHhTEGv/dt3ickU/PERoAfaO0AIcQBdazIyTfnjINNmafpYgP2Mo\nXdY/qbCYScBTRZPo4XQ5/MHy+M1S9rkokIaIqc8Y3Y+R0JJ7rvkwe+0jH9/PfkqcY1yyZRcEu+pO\nG2Fyw0Qh4Ni/mV0Z1wz9OSotwMEQWoADsMNDtmFTuZ6W5GQXRNNwlVYS2vcbXC9nRD+XOLOq7UiP\nS7xgStOIuuP339YJM9Wz0t22x8JubysfaUVnpNoSB740zZjZQSawpJWWsM2gp8XFfyuGh4DDIbQA\nB5A24XbzmKV+eMj2r4wOC/WBJRrZSFZt7ZpSvR+NCmlfiL3to418fttL2PaqraGlvd/VlULgkwk0\nJqSMD1+ZRqJseOk/0IcVcMemgIe/abtfdngofMzg7w5gr/inAAAAmAUqLcABRP0sRaanRX1fRHQ1\nZ2df371ZZkjDD66R46NRkuEwx+B6Pva3rbCk1ZbmA7vHXPIeW/taxp7bUuXpmmRduNpyU3Fx5nPT\nHpdw7OLf/fsNr+lkjnm4urO9dEG4HpH6qz/3f7NMT0ty6QYA+0WlBdizP/idf5DpZzEzhuT6c2Uy\n7BOtlis3GB7qZ8w4e741zbzDPovu+bQnxTS9eiW3ffJjHqu9l6/r5ifdLjyfuR391LXq9PmRzw37\naW/LNMeODbH1xyBtYu7/Ex1TGx7tFbj7P87gb+bsdum6PM7pD37nH+z1f7eAv+6otAB7VqYzh7oK\nijn5JRWWOKwoG1hs4miqLG5YcelmFfUzYaSRBlxTPYkDTOiZ2dZO27513Gqz2/NjTcMTnxtm76Sz\ngOzzcYXDVlrygWVwTKO+FrXHsN2w/SLh+ejvGlXI+p+SZlxgrwgtwJ6VZdms15FMiY1nD6VrjPQ3\n8kNDGpxh++DSTIFWez/MKlLURGpXeQn6pfK7wGJCQ7SOik0Yzg7LxPfH+OROFFl8um2/z20aa75f\ndKmDzNTwqLA0Xl3J3Y+O6WCIqN1Jk6Gc/RxzbOPKS6GyLLccGQCXQWgB9qwJLXGVJZoWa4YzonVc\noiEcUzEwlYGo7uDa2TU2vCQziboTdxoUurfJB5noysppd4vvA4KXj+5vZfej+zUeebowkqxrk93W\nVqeUBpY0rCgOMKZ/Rl1PkLqw1O1vuhigCS7hzaJKC6EF2CtCC7Bni7KM+1lCaunHEExvSoY58UYr\n4bbn1KC76vJUU67MSnO5akt2SrNr39/3VQb7khBUFKosZgm6sfzRjVL1gWU8rCQVKtu7kgwDxcHO\nHL8o701UW8wN11WqfBtY+qpL7uv0722uF2XCZ+GcFoQWYK8ILcCeZSstpqhhZw5FP/ZNsokmTi2u\nO/8PqyzN7b4246aqLd17h9v2CsthqEhRIrFdJxrLPtaW9wvv5kLpyPT/9NWV8XKOs5Wp7pGJakv2\nRrI/6XCQXexvMIOofw2VFuBwCC3AnjkzHGRrBbYqkM8kSSOu/T080/ZDGX3rh6m49G0YGrtwYvTG\nPjpn23BjA0Z/O9y3QWM3w8BiL/7YH4PBRQSiYaL8e8fDQ8OvGT+XvIkz1RZ5s6x/UrFK3sKZQJW7\nmCKA/SG0AHuWmzkUzz7OXyCxfTbqj+h/x5WYbsJvFFzi1OLk88Mb3bL1GoSN6CE/DCyh18Xu9sTq\n+QPeVFziVfmT4KI+eHWVquhnIhGkM4zS45cbIkqPXwh9rglmUTeRrbQka8GklRbWagH2i9AC7Ntg\n2Md1/waX7YfoNk+GGNIqi5KTeHTTBpXkORNY7LTfwaJurXSqs48qKj4KLf3wkDf/nebNf7KjQyHQ\ndYvYua5/Jtfr67rtk2bY/gsP92mXnpauxmOqLea19gKKXYCylZYosBJagH0itAB7lvasKG3JyP5L\nPF0sLno4qbqkM3Bddgq09/1r02rBuHi6c6i09Au+tc8NmlrMsFSuSySZ8zwcrfLRl2zylu9CzPZI\n1L/OHOY4oEwElnC7mfJsPrJryO3+MwwlLl9pkXNJfQzA50VoAfYs14S74yujs+mwVjAstURRJCq6\nhOEhmbNwv3+BXezNmdkyoc4QBxZvpkI78/rh7CE/SC3hbrQwjPleps7UDee47gFnn5wcerHHPA0s\nkrKBJd3ZuMqizDEcEz6L4SHgMAgtwJ5Fy7qHAQTb/xAFm6R51FYLoipLWKdlWGqJHo+mP5vqgHkf\n25TbvZsdSpKTb0sOdZ1fYr/b325xOR8FBdnn2xtp1cV38cr8tH0kRRHCh00bw6nitqfEHsOo4jNZ\nYXHmiJqKlTML50XHMKm22B6X7v3iSzcA2B9CC7Bn9mQWDR30G9g73WPDk27/ezg65DLBJbzGR20u\n6fDGxJ6b6ozkfd3+pP0s8UL7fXAxWWCywtJXaGRe36UWOXlfSyoHVZOpfU+rWpcJLN1xsmNEZqzI\nRcHOVrzi/eqXbbHXMQKwL4QWYM+iKkqotGSCx+CEFjXkDrcfjg711ZXwazgpd/vwxnD1lfZed3FE\ne/HCZDr0jt0mNrTkPi803Drn5Aplpmjv0vCbawoy95LncqNDznynMEimzJTnqGqW/LXSiygC2B+u\n5gXs0b/4oz9IVsI1TbhmNkk66yWtsvSFFjvOEbd/uOHpd+T+Ft4PZhTVdd0MDdVeta/Hr9bsh026\nfTVm5LmRn+aqz3XzmbVXXdfRPtn9nJLGldz9bLZxZotkaE7RnzD+G3Z/QPO3tkNE/+KP/mCXvwKA\nHRBaAADALDA8BOxT8i/3bKUjs6BcOjQUvZmpuPQzhfrhlrgXw7zUTisaGxoyFRZbZWmqH3VTZan7\n1eayy++nw0/dfXXjQdFAUNKRa4d8vJdUhF6aQnVdqyzL+Gt1U6GzBzd7M+0NGutr8emSwoMhouT7\nZ/YjHoratdwFYBeEFmCPuu4V55I+h0ueu9IhomSUSN6159ZBI0uGjSTm6s12SKgdeumGatohGnu1\n59HQ0u9y1/DrolZbG1yGoWWwt17d5xdFPFvJtw2u3QJvuYafbUfaBpi0rcg3M6ei9Vq2iP+2piMp\nuowDgH0gtAD7lq2wXLLPJPu2rm9onSqsGN60goTekvi5EFZCWKjbSkvdX+XZ+90ChwksSaElCjz5\nheXMW3jXfnatug7Nuc2FB6OLQkrJ/tjKVH73otu2hyWelL2zqb9qLhQB+HwILcA+5Ro7Xf4MNhxZ\nmJoX46LfW0+wE093lZM2AITG2bqb3mxXvvXxEFK2ETaJTMnwUBpWxt4jRDKXad6tfa3CFe2MY9eF\nl8nZOTtMbUpWyJm+Cna0QF/ynEseZ3gIOAhCC7BHk4MBO57Inss5zntTZfFmfZZmVk+/9lxcKcld\njzF548zrRt6j/d2Hllreu24WUfEcruUzOUKUCyiZTRgeAvaH0ALsW7Qa7sgmY10uU+e3HXssesON\nB5WEUG1pG3Crqo6mO9uelvHhnXQH4x1Ne2im3qOrrtRetfOS6r5C0zbkOnNZ6X5V3fTA7bqCjO0C\n3vK1kge3/X25YCKwf4QWYJ8OcY7aoYt35yzjMzfNMMym2rTrpNSqwk9VqSiKuCk3rFXSBhnn3MgF\nDs1QU675N3zFNuiFqkoXSsLQULHsL9RoV9/dsfdWu8SYbeHlaZFbgL0htAB7ZP/9nfas9hNdLtOU\n2/eyxMu/XbrsMlJ5UbcIXN0OEVVV1c7eqbTebFRVtYqiUOHcMLSo7zGJgouZkm0DSwgrudASPr/2\ndRt2ShW+VqmyX9yuvcrR8LhdorLSf2r023WVm+ljGz3rkn3x0S+Gh4A9I7QA++Yu90/2bSNC9nrP\nY1dPHjcxJNNNK+qHZHzttV5v5L1XVddardbNWilFIVcU3RL1NrQ45/qmWBNglAaVTHjpdkNevqvs\nFJKcyqJ5n8IV3VBVNB3KXq3aS87ZwLH70FDcatRHl5HNdzz0cbgDsB+EFmCfulkk5oSa32S3N7J3\n0wk6408nfPaeV1xpsdWWTVVps9lotV5LXqoLr6KozXWVkkrLyFWP+2X9+9t21pLdplu631WSpMVi\noUVZxpcQaCstfjSajAeW9NHs5C0/+cDW94z+Jt0y/5NvAeASCC3AHqXtmZ+rPcKMXji5drXWXUot\nfrBJVGUxU57jReVq+bq5ztBqtdJ6vdbFxUplWaosCxVF2V8rKbp2Uh9Y0ibkEIiUBJe0wbcJLZWq\nqhme8u1MpuLkRL7urzat9GdQbTGHwGkyxJiD295y/Yq4TzP6Fh/98O4MDwF7RGgB9u0yQwIj/xh3\n5ka8lkjjUqNDUXjxmUpLf0Xn5qrOtc7Oz7Ver7Veb5rQUhQqymJQaSlc+1jh2qEcl620dNWSul93\nZVBpqfrG39o31Z7jo6N+v8xMJ7vfslWNSzTm5o97H1xGq1mXCTQMDwF7RWgB9ujzjwiML+fqfG7x\ns3wPhh+53TwQV1rC0EwTKJowcX5+odMH/03L9g36Jtm27+X2G5Kkoiy0KMumUbcYhproKs5t9WRT\nVaqrWstPf9h8g6IJO0VRaOH6Kyyf3fol+ZuhAtRfVmCs0qKkrpLWWPr78WuiK2lnD+/TlV26Qhm5\nBdgbQguwZ2GYZNtGW3ssuusYjazWuuVc6tPwYioVSqoVUaXFe11/9GOpKNozvVchJxVFN4Pp5MlP\n2/fMvL+p5nRDRlITSCQdhcNzvDTf0x6T5sb1Rz+Wf/lOXGnJVFvCZ3dBafR4Th7srsrifDpTK191\n2ZpM05lFAD43QguwVzsuKOYlFf1LcsNEfUtL9gybDSxjGcanfSyS6WUJwzV1v6Bc7aNej3ApgqJ9\nJJ7O3S/xFh6LFn0zu29DSbb3J7zW99OlQwXIXmYgqraoCQhjV38e7WoZCy7N9ZyHk8vTEk49crCj\nN3Q7pBsAuyK0AHs0OGf67E37iul5LS4NNf2wy4BPfnePx70jcX7xg9Vva++1qeuuPyVa3TYXotKK\nghsJWsm+xkNYPno8rfx0q+R2V37u9z98NxeuB2D/CFtmQTtn0pP93S/EkquxDI5J+t2SwwNgT4od\ntgEAAHjuqLQAe3S5ds1kMCgzNuTM/8iZYZdsU25mT5I1UWSqGmEYJp2G7L3XxWqthZkt1M8KSooW\nmWGqXGEhu6ddcSW9onO4pECtG5l9C0NIPimfeO/l28XtNLicwFDXL9StOdP/9un0oUFD7u7lk881\n7R1AhNACPDfb1hDpm02dPZnu/PZ9PJEZHoqGixRf0dl7r82m0p/+4EE326eua/3mr7yo0+OjPryE\nz0gvSTAxNNT1qiTTlcPnPrlY6Rv/9b4Wy4WunZ7Iyenvf7nS0dKGljpe+yUdHgrL/GdmFo2x+5s2\nL6ffIH8bwLNCaAH26anPZUmA6XoxvAkfcXUi/kCfbmBm1qirS3g748f0uHj1U4pX69Vg7/7ku5+o\nqiqdn5/rww8/jJ773//X/0WStFyUWhRl82CSFzZVrfVm02z/f/zr6LmvfvWrOjk5aRexK1VVlc7O\nz+VcodV6pdOT42bf7MUXu/3uv3XzvKkGdYc0bWzxbTOxH1asokbl8b/WpZBvgL0htACHdJkmzMFJ\nNjxsgog9oY6cDEeHYrqzfDyhN1pLpV1PJfsW3g8CizIh5LI+/PBD/dZv/Vb0WGi47daGSVfRDf+N\nktlwHvloLWsQ/hQNv2U23B2Nt8DB0IgL7NVlhm+mXxOqB930X1st2XkvhifheH2T9jE7aycJLXZx\nuEOp6zoKJYPHk31VFL3yQWOXY9RVaDLHefxVl62eUGoB9oXQAuxRbibyYJvot88+F2+RucJxZhjo\n6fbHd2EgJJcQFJQ08B46tHR7ZD67rmszpmX2dcLUd45f3n/nriF5MNyW+7TcVk+3PwAuh9AC7NVg\nAZKdXzb6eHde9dHjaT3AKz0r96En+zHxOnPdZ9R1HFieR6Ul/O56WRTva9TQG32lTI9PJtjFTcH9\nZ0yWsZ7mb7lDyAKwO0ILsEf5SsAeTlqDqb47fER83o5Ho7rQYwadkpCiJLAcOrTkgotPkkq0z3GG\ny+W1WPawmYOzl5JIJh6RWYC9IbQAe3XJM1RSNQg37Ak4nri862cm0SZa9j4pJ5hREpmhmvRih3fv\n3r3cd7uEu3fvRqGlr7TU3Tf0Pv2qyXL+0Vo02jm5+CjrJMNumb/N5TMoqQXYF0ILsEd+S49Jt9H4\nk9l7fTVkqo9lhyGO9CTtFVda/HBY6NBDQ0EutES9PKHOlAaJMdGxyocVe8DGw+HUwZzei70VcABI\nhBZgv7x8/iw1cuLK1D2GW2SHPPK9GoNXJ/uSvkX3PmlVJwku6/V6yyd9fuv1OtvX0u9TvM8aOXbZ\n6zLZ5+P/pKWW0b/G5N9q7Ak/MpwH4KkQWoB9mviX/eWGFnz27ui5cWKbsTaPbrG2kepOqHxUVaWP\nPvpo1x1/ah999JGqqpqs7Gzb5/R7D4bcBu83dif7QN7oZj76uwD4/FhcDtijbnryXt9TyULzmQ0m\nn0/7W5I77Zk1PFxVVdcYW1WVVqvhCrmHslqtVBTNNY+iadDJvg6/R3ucssv3myPo08Xfth7dzyW3\n9gyAp0elBdincD4dnFC3DwSNv58fvtIPbozvTNgh3w9X2CEX0zIiSXr0+EkUWg7ZgJu6e/duHJpC\ncPHJvtqhuPSJ9LsP+MGv/uvv0pQ0fL/crC7vpbqqtXoGQ2vAXxdUWoA92rXSMto14V23Gv22GsBE\nt0rzSGa4Yzr4NEMvH9+7p6qqVFXVM+llSa3X667acn6xSqaRDwNHf8te8Tl3vcR+m12P7aD/JbPN\nGO+9Hjx6pHuf3d+yJYBdUWkB9qiq6u7Cg9P/2H/KIYOJYk18gt0tOIV1SsJ1h7y8Pv7k0+dSZQls\nteWz+w9M2LJr1UyxkaO/yGL3HevmatF1e9HFYSOuvT3xWZm/oZ399OjxE333L3+oH/z4J09xFADk\nEFoAAMAsMDwE7NHFaqWj1UrXqpN4zZHszOVBV6iyT01sNtqC0fXW9HOZhm0wTdXh7OJC9x880Pn5\nSt7XevjosWrv9d57713uy+/Re++9p3feeUcf37un1Xqt1Xqj84tS169d063lQpKPrpF0sVq3Q2pe\nZVFqsVkiM7YAAA3lSURBVFzoaLmU2sbiTVXL17VqX8vJqSgLLcpSi8VCy7L5f4NFWUhequqqe9/C\nFc3Vn9Op421zc1XVWm82ulitu88Kjcvf/u739Zc/+rHOzy+e6bED/ipzW8bfaXsHLun3f/t/0+tf\neEV3bt/WYrHQYtGcHMuylCSVZdn8tH0bhXNy7Y+ck3OSU9PY4kbTihnaUT9DyLeNqc3QR62qqrWp\nKq03G1WbKjrRS9KPfvozfef7f6l7n91XtdmoKAt96zvf1QcffPAsDtVW//Pf/5/0lb/3d3R2fqH1\nZqOT42O99uoreuOLr+nh48f69P4DSdLDR4+13lSq6lpHy6VOj4/0wq2bun7tVI+fnOtitdJmU0mS\niqLQYlHqeLnUycmJrl87kSRdOzlRUZTyvm4aYkJwKQotFwstFgs5JxWFk7z05Lx530ePnmi1boLK\n2fmF6rpSVXn9yXsf6tP79/X1r3/9uR0/YMay/8+PSguwZz/48U+0qWrdunlTrihU+EJ1Xaso2tHY\nNlh47+Wci/5l4Gwzrpe881Fwiao0ob+jW8W2v72pKl1crPT47EyPHj3WwydPdHFxoWpTabEou/f6\n82/+Z3362X2t1utmxk5VXakpumfnF/rWX3xftW96hYqi0I9++jP9/JN7evj4iZ6cnTXbnZ2rKArV\nvlZZlCqKQqcnJzo9OdKmrYaE4104p6IstShLHR8d6dpJE1puXD/Vcrns1opRGzCXi4WWbeXm9ORY\npycnWq3WevDwoT598FBnZ+d6/OSJpKZKs1pvdH5+oYePHz+TlYSBv04ILcCe/fhnP9f5xUp3br+g\nOy/d1nK51PHRUsv2BOaOj5uTZ1G0J1I7zNPccS6ZtOKa//TX5KlU115V2zBrG003m43uP3ykX9z7\nVB9/ck/3HzzUw0ePm4rLetNUCqTmxPvoUdf0GmYMXaXQUlWVPnvwoK1yNMdsU1X6zvf/q2R6YZsi\nVRMKK1fLOafVeq0Hj9oKlvphNte+oCgKlWXRDQ8dHS1VOKf1ZtN9VlE4OVeoLIo2sBzr5PhYq/Va\nn3z6mc7PL/T47Ey+/duu1htJ0pOzs0FVC8DnR2gB9uzR4yeqqlrf/PZ39De//KaKotDJ8bFOT5t/\n0d+8fk03r9/QybHXYrlUvambyotzKlwhr7qbslsUpQrXhJX1puqGIVartS5Wa63WK63XG22qSr6u\n28fW+vHPfq5P79/Xw0dPtNlsukpD09cRgk9/Us1eWfkKsFeYDpUq7702m6ofUpNM2HPRa8NvG1y6\n4bR2td+1a4LG2fl5k2vaoaE6VGYK11doXKGTk2OtViudr1ZardbRFbDruumd2YTjfYWOJfBXAaEF\n2LPQjPmjn/68/df8QkfLhU5PTyVJt25c153bL+qVOy/p9OS4nSZda11V2qw38vLtv+6bHpfQUPrw\n0WM9etwMQzx+cqazi3OdXzQnzk216cLLZrPRg0ePtdlsBhchjIai2lVn7YnVe/9Mluzf1d27d/Xu\nu+9293cNAlFQydy3j9lmZZkrS4dtqqr/POeczi4u2n6hqpveHoUWe7wJLcBeEVqAPXv//ff1m7/5\nm1qv1/r4k0/lvddyudSibcQ9PT1phm7ufapX77yks/NzXazW2mza0FFVkpcWi0XbBFrKe+nR48d6\nfHYuSTq/uGjCymbTDOu0/9oPVYRqh6GJNKxc1ZNsbt9yIWTstVPbPe0x8mGNl8x72G3ef//9rfsI\nYHeEFuAAwknr7LxpEN1sNira0HK+WunRkye6//BR2wS70Wq97q5ybFdtXSzKphpQN8vBhxkwtRnm\nCTOGvPnsdD/SfRu7f1VDy9jtXPVEYYgn8z67BJ1t+5B7fCy4ANgvQgtwAIN/lacXAPRen24e6MnZ\neXt9nX5d+tBXEZbyb3o5fL/Sbu7zLrE/6WPpdlfNWCCwQzvB04aSXT43fSwXWBgaAg6L0AIcQHri\nyvVY1HWti4uVXBGfaMPJOGxfVdXWz0pvc8KMe1bCsXyaassuVZS5DLUBc8cy/sAB5P7Fna12aPwE\nt2vD6dM8l25zlU+0ueO4y2ue5rmpbcYeo9ICPDuEFuAA3n///ckT7a4n1cucfHcZrhgLUxqpIFwF\nU/s69b3S7dP3nPq8p9ku3TeacIH9I7QABxLW75gKF7tUEJ62CnNZcwgt+37fXR7TJf5m3qwrA2D/\n6GkBDqSqqnadljJqGk37LHJyPTBTnraSMGdPcwzHZhuNvX7b5ysJVXZlYQD7R6UFOJAPPvigO4mF\nf33b6svYsMdljQ1njPVbpPfDT1VVunv37lN/30O5e/fu6KJtY0NCU8fksqaGptK/a/hbX5ULTgJ/\n1RBagAMK/+rOnXS3BZfLNoxODVmMhZVw/6oPadhjqIkZPLv2+Wwz9TfJ/djQQpUFOBxCCwAAmAVC\nC3BAYYhoW6VlquoyNaRjH596Xbpd+n5XvdJi929qKCj3+Fi1ZVu1Zlt1ZWyYiKEh4HAILcCBpX0t\n28LK1OPWLn0xu37GVe1nCe7evauqqiZD22XC3Lbhsl2PWwgsdhgQwOEQWoADe//99wcNm7sGGE2c\nLINtVRtrqkpw1YVw8LTfc9fjph2O/djfk7VZgMNiyjPwDNhgUBTF1pNuyi5DnzNWbdl2YrZB4KoL\n+zsVMgI7rTz3O93Wfkb6e9cAA+Dw3Jb/Z3X1/z8ZMBPvvPOOJGmxWGixWKgoChVFIedc9zucQMd+\nW9uGQZScdG1FQKZysVqtZtOH8fbbb2u5XKosy+74qQ2C4faux3HqmI4dxxCawnHcbDbabDb6sz/7\nswN/c+CvnewiTFRagGckhIWqqqITZqi8pKaqA8Fl+jfS+7bXZi5CWEiPWQgSaSgZq7LsckzHjl06\nvXlOxw+YOyotwDP29ttva7FYqCzL7idXaZmqsgS7hhZ7sg3PV1Wl9Xo9uz6M3/iN39ByuRxUV+wx\nnKq2pLdTU6HFhpWqqrTZbGZ3/ICZoNICXAXhJPfuu+9K5gQaqgdTJ9ScXfpZ0uZfSdpsNrNcCC1c\nHsEqiqKrtKTPpaaqLJqoVNkKy2az0Te+8Y29fB8Au6PSAjxH7777blR1maoUjNml+daGltVqJbVr\nyMxZqLioDS1j1ZZd+oOsseNoqysEFuDgsv+HSmgBnrN3331XZVlqsVh0J9n05KuRCkFuKEMTPRgX\nFxdXej2Wy3r77bclKRoumgotU0NFYxWqcDtUpggswDNBaAGuqnfeeaebUTQWXNKpuWOBRZkT73q9\n1nq9/isVWKxf+7Vf0/HxcVStsv0uwViI0UgPkL3NLCHgmSK0AFfZO++8k60WpE26Gllu3j5nt7m4\nuLjyK97uw1e+8hUdHR1F4c/KDRPljmm6FkyoVBFYgGeK0ALMwTvvvLO12pI2ieZ473V+fq4PP/zw\nGe798/fVr35VJycn0kT/ij2e24aFCCvAc0FoAebo3XffHR0iSs1pobhn5dd//dd1dHQ0eHysl4We\nFeBKILQAcxdW1XXOcXL9nN59910qKcDVRWgBAACzkA0tXOUZAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEF\nAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADM\nAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMAqEFAADMwmLL8+4Z7QcAAMAkKi0A\nAGAWCC0AAGAWCC0AAGAWCC0AAGAWCC0AAGAWCC0AAGAW/n+KljZSowtTgQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 720x720 with 1 Axes>"
       ]
      },
      "metadata": {
-      "bento_obj_id": "139672642775376"
+      "bento_obj_id": "140208759194704"
      },
      "output_type": "display_data"
     }
@@ -409,8 +389,8 @@
     "images = renderer(mesh)\n",
     "plt.figure(figsize=(10, 10))\n",
     "plt.imshow(images[0, ..., :3].cpu().numpy())\n",
-    "plt.grid(\"off\")\n",
-    "plt.axis(\"off\")"
+    "plt.grid(\"off\");\n",
+    "plt.axis(\"off\");"
    ]
   },
   {
@@ -431,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": 41,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -440,13 +420,14 @@
    },
    "outputs": [],
    "source": [
+    "# Now move the light so it is on the +Z axis which will be behind the cow. \n",
     "lights.location = torch.tensor([0.0, 0.0, +1.0], device=device)[None]\n",
     "images = renderer(mesh, lights=lights)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 84,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -459,25 +440,13 @@
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "(-0.5, 511.5, 511.5, -0.5)"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {
-      "tags": []
-     },
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0\ndHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOy9e7Ak2V3n9z2ZWa/77vc8unt6XpJG\nj9GwaCQwC2yshIBFIBYUi+1wBLZhI2yvHesFGQ2BbdoEQQwbo4gNewOHIwjHQhh2YSXwsCYCdpdd\nCQkhkEAaRqPnaHp6ZtTTM9Pv7vuqqszjP/JRJ0/+zsmsunUfdev7UVxVVeZ5/DLv3D7f+j1OKq01\nCCGEEEIOOsF+G0AIIYQQ0gSKFkIIIYTMBBQthBBCCJkJKFoIIYQQMhNQtBBCCCFkJqBoIYQQQshM\nENWcZz00IYQQQvYaJR2kp4UQQgghMwFFCyGEEEJmAooWQgghhMwEFC2EEEIImQkoWgghhBAyE1C0\nEEIIIWQmoGghhBBCyExA0UIIIYSQmYCihRBCCCEzAUULIYQQQmYCihZCCCGEzAQULYQQQgiZCSha\nCCGEEDITULQQQgghZCagaCGEEELITEDRQgghhJCZgKKFEEIIITMBRQshhBBCZgKKFkIIIYTMBBQt\nhBBCCJkJKFoIIYQQMhNQtBBCCCFkJqBoIYQQQshMQNFCCCGEkJmAooUQQgghMwFFCyGEEEJmAooW\nQgghhMwEFC2EEEIImQkoWgghhBAyE1C0EEIIIWQmoGghhBBCyExA0UIIIYSQmYCihRBCCCEzAUUL\nIYQQQmYCihZCCCGEzAQULYQQQgiZCShaCCGEEDITULQQQgghZCagaCGEEELITEDRQgghhJCZgKKF\nEEIIITMBRQshhBBCZgKKFkIIIYTMBBQthBBCCJkJKFoIIYQQMhNQtBBCCCFkJqBoIYQQQshMQNFC\nCCGEkJmAooUQQgghMwFFCyGEEEJmAooWQgghhMwEFC2EEEIImQkoWgghhBAyE1C0EEIIIWQmoGgh\nhBBCyExA0UIIIYSQmYCihRBCCCEzAUULIYQQQmYCihZCCCGEzAQULYQQQgiZCShaCCGEEDITULQQ\nQgghZCagaCGEEELITEDRQgghhJCZgKKFEEIIITMBRQshhBBCZgKKFkIIIYTMBBQthBBCCJkJKFoI\nIYQQMhNQtBBCCCFkJqBoIYQQQshMQNFCCCGEkJmAooUQQgghMwFFCyGEEEJmAooWQgghhMwEFC2E\nEEIImQkoWgghhBAyE1C0EEIIIWQmoGghhBBCyExA0UIIIYSQmYCihRBCCCEzAUULIYQQQmYCihZC\nCCGEzAQULYQQQgiZCaL9NoAQQkw++Oi9znNP/8239tASQshBQ2mtfee9JwkhZFqUxIoGoIT3oHAh\nZE5Q0kGGhwgh+07Fu6Ic76W2hJC5gaKFELKvUIQQQppC0UIIOXjUBKYpdAiZT5iIS8g+wGRT4x5Y\nOStA9lk6TgiZa5iIS8ge88F33OtfjI3F+rAKGKdoaypUsnaH9f4QQpiIS8i+8sFH700X67pFOfcy\nIBM484Tr3thfn+iBIWQuoWghZA/44KP3pguvy3fpWpTV4cvfEK9HW6/2e4oUQggoWgghhBAyI1C0\nELLLFJ4FhfE9BnmY6JB4W5zXoaxX+70Ns+0ImUsoWgg5CLgWaOP4YREuBb5wma8PwHARIXMKRQsh\nu4gzkXYST8GMexemIrooVgiZayhaCNlNGnhQxhmrqEA6DOThMikJ12TGxRohZHpQtBBykDFDKMbi\nPWul0I2E1jQFHiHkUELRQsh+UudFMJN3myapHiZcJdCEkLmEooWQ/WQH4mMmw0SS8Gh6D+ZFqBFC\nnFC0ELKbNPEOSG0OkVehJK7GFR6e9u2Q/3wRMm/wr56Q/WBKu73OpLfFZkKB1on4zxch8wb/6gnZ\na5o8FPCQhEIaJ+BOIFz+n89dHL8TIWSmoWghZBd5+lnjKcTjbqbWsO2h8LaMI9IOUeiMEDIeFC2E\n7BUKzbbyPyS7vk4kpprk98z4fSGETA5FCyGzyGHzNthCrSbnpxOFu2wQIeQgQtFCyF5QJzLqEnNr\nvA0zHyKyr7nmHnSZhEvIXMK/fEL2Atci7AoFzXhIZCwR5dpAznMPfvMvXxzfKELIzEPRQsgu8/Tf\nfMt9cidb11uL+sx5W3LRZlYPSbv+WkImmDUFRwiZGhQthBBCCJkJov02gJC5ZacOgzH6n3/iw9WD\nppfDMdb5J58a26ySx0caOz+mPG1MLO9Lm/kshMwtFC2EHHSabEZntBEFSqltFm9RWYciPKNHxyCM\nZc7RVMxIdjdJuvXA7fsJmV+U1t6yhsNWWEnIvuDMN2kiSGr4tr/3n015UKO/y1MCU/ikjc4/+RR+\n9LGz0EnsHhYO0+x5PJfgzREihBwWxH8BKFoI2SPGTpQVFu6qQDEaayUs/OYg2XuveLC8MC6DijF8\n8Z90vFtXLqO7uIyrL38Tl7/5ZYf9zYgChY9/8ZUdjUEImQlE0cLwECF7TVNHSNamECqlrxCmAMnC\nOrmAKAkPwWPizR9pmFyirDfaOmbkraycuBsAcPeb34m73/wo1q9fwctf+jw2b9/wzCXTChgaImSe\noWghZK/x6IIgbOHY6ftx+m3fbp2x802MfBTbeyIJD2X0qaMkQBoqrEqeip1tmw+lsLh2Am/57h/E\nrdcvAQBe+PyfQjd06no1FSHk0MPwECF7TCVMpIET978Jp99qC5UG+DRFkzyRMZN8i885RUqLGZ4a\nL6dmsLmBC1/8DDZvXUcyHHq7LrYj/Pbn+XRnQuYAhocIOWgsHjmBN33Hexu6EAQxUBILeRuk7RTS\nUJFZJWTjKzsWnCXiOAqZDY4ONRqm1VvAm77zfbj1+iVcfOazGA62nX2UYniIkHmG/wIQso+86Tvf\nN0bMw6E6lN3GzD1xuUiMQ5VcGc90XtOsJN0xWTl5Dx56z99FZ2EZQRhBmbZnY/7W5y5MNjgh5FDA\n8BAh+0DtXio29nb3lRyXuioe47RUIZR7ZCrFRlOoyZbwDKuTBK9f+CquX7qIJI4x2NoAlEJ3cQX/\n8tPPTt8WQshBhOEhQvYT10ZtbnSRvFqt/LHjOnbCq1FdpHKBkx3zaR1TpJS8J9WN50rHS7vrOi7O\nG6oahbVUEODUg2/FsdMP4OorF6B1gmTQx5F776+OSQiZKyhaCNkDKp4Vn2Ap1nw79CNRUylUCR1Z\nB51VPvaYjuQXW4T4qpRsT04xnyFmjPNRp4tTDz4CHcfQ0AhC/nNFyLzDnBZCdhlnKEgMzWrLE6KN\n1wbR2nzfllJTITFWW+dMD04lqdcYTFufa21pQC5mBFMBQIUhgiAEoMcPqxFCDhUULYTsIuef+LC8\n0OdhnzpKngypvTVu4aFxJN3mbfLKIm9Om+E+kTasq6PUrEbB5KGlij0TzLtLnH/iwxRNhOwzTMQl\nZBcoxEqTvJUxS4QbtStCLo5k3CaD248FkB4LPc4+MZKNQDUhWAqLFWONBm360MZUaFg2AyPh1rR6\nq9GeNtWE5kmelE0Ikf/aKFoI2QXEb+SeEEiloZZyUibdHW4K3Z3t6gSMIHQqbc2k4Qa2TEJl7JrJ\ncu+YmHzs6VokIgPiNWng/K9SxBDSAPGvjOEhQgghhMwE9LQQMmXGL232YO+bYiKVFru8HaLnpqZj\nnbfBO16NPaVNZ1y5Or7abN8Ylc1mrKGbhITqxp2guwBDR4Q4YXiIkN2mLFjkUt4S44oabayGdpWR\nncPitMFeUR0hnkkEV5P+PtHg0ypiPzMUY58XhM04OSxNQkhNNt/zhtZSuyheCKnA8BAhu8n5j5h5\nLNbi6FrXSiJi1FU8kFccVRJXYRwTkk2LvuYb0yCHnaI+MGzRqL6X5rYpxJXdUejjs6c4mHuRXJ2V\n4Wmy8mqAchVVyZwaMaI8bbTdzjGArpmDEFKCnhZCLKZX1ponmI7z7V4YAmhetTLJBGaVUK5pggAI\nQ2A4TF+B9L3LxkolTi4ClJiH6x4E7gqiuuuouGiAUjKs9KgCu+2k0/naAfUeGSboEmLD8BAhJiNx\n4li0KuGUrI0vb8SZvzEuroXUU5niGqYyhO2dMY4rhX6S4JvfeB7PfOnLuH7zJnrdLu6/7yze9ta3\n4PixY0CSVCco5b9MaljTpjtNFKobqi7G5fpd++axhZj7GhgqIgSA4w+E+2KTuWK0f4r5zd4hNuyQ\nC+SPxUFpndPKGsvsorDdH+DVN97ArRs30O0t4NzZ02hHURaykOyqCzk1SCpxPENIBwFeufQq/uMn\nP4ULF18qnX75W5fwN899BR/8wA/i7Ol7DeFizOW6X2KeipB3U5d7O7oA6aB9QZ52htByjm+F0bR1\nfTW3eHQyb+8IXU1RfxEyD9DTQg41qUhxeBZcCajTxs4HBYAoxHNf+Sr+wyc+hVu3byOOYwDAe971\nt/B3vudvoxNFYxg1ofGmXYHCy5dexcf/33+Dm7duObucOH4cP/bBD+CuE8ezMYyLqnimJJt8HiRL\nCYx7WaVkZGEO13jO/z7q5oMhfhslsYza1Xhq6G0hhIm4ZF4pJa86Fpdx13wpcVPbB8yxR8eTQOHp\nf/OH+Njv/wGuXb+O4XAIrTW01vib576Mr339edRuWz9Owmipk9HRcBxsDYb4o3/7772CBQCuXL2K\nP//sX6Z5LnmuS8UMJd6GUSPJ06OsNsBokzbfdyfjmpyVRfn5MW0CyqLM2dccw/IgVcbL2tg6hxDS\nCIoWcmhx7korrYXexUkSIvnCavRVxf8JQyjE0Iih8Vv/6l/ji88+Jzbb2NjEc1/5KpLA+NPMq1tK\nessUTS4BVbVBpBXh05/+M1y6/BoWFhawsrKCIJD/adBa47mvfg2vX76M1y9fThN2q60cXgvDTtvW\n2jCNeEGQBYchIDSE89I4wv20u9omOKNP2XjSeVPAWmK2/llQhBDmtJDDjb0gmomi9pd7e30sjhkH\n889mKMQZcjCETaDw7/7dfwAAvPDiRa/J33zhAm5eu44ja6vGImaHE4yxS+892KJKAwgDvPrKJfz1\nM8/izJkzePe7340kSfDXf/3XuHhRtjOOY/zVM88CAL7/vX8HgTMRxc7LcdiZCz9J9BX9pSQSJYR2\nzF+iQjl3yZE7UylNV5VhRLtduMKQxVgue5jcQkgdFC3kcOP8Bm9ihQ+ESEWlT7FGmh4Xc4xy+8uv\nv4G/+KsvAADW1tZw9uxZfP3rX8fW1lbFOg3g0muvYW1tNVvLmngKLBubrH8KQBDgz//yc1heWcEH\nPvABnDx5EkmSYHV1Fb/927+Nfr8vdr106VUAwJ2NTawsLFiDwu0EKcSA6Y0RXC1if6GdPUZFABjH\nSk/MdoxnXcZ0cIm17D8apaz7QQhxQdFC5pfSmuVYNG3sdbbBOhNrjd/7g/8Pjz76KADgAx/4AFqt\nFj7/+c/jj//4jzG09j9JkgTXr16DyvdJ8RqUGVV4KvLm1rd4qbtSeP3ya3jhxZfwfe9/P06ePAkA\nCIIA9913Hx555BE888wz4oy379wBAKyvr1uiZWSSaG/u+Sgt0EoQEtarc7dbyMfy+2F6yirJr4bA\nqphr2TlNUVG6NFPQOBKICSEFFC3kUFLeg8UMiWhhoRBCC5U9TGD0EbrA8RnA177+DaggxA//8A8D\nAKIo/bM7e/YsXNV7F156Gd/R7yMqckZqFrLKaYdnyCSK8IVn/gara2t4+OGHS6e01jh9+jSeffZZ\nJKV9WVLu3FlPX2/dBu46BcTVNulA9tymwPKoQvv+V7wzhhAp2hiipOJVsQVLdUrnQSkvpnJdxn8g\nGihXFTl+F5X7kr6LWvxnmRAXTMQlh5LzTz7lSMJU5WRHPVosyquJla0rhjp0ujiZ45ldASRa499/\n4k/xIz/yI4iiqBAsAHDs2DGsra3JF6A1tgYD3yVWr0v6WIgr63oAbG1u4mvPfxMPP/wwFgRvyeLi\nIjqdjjhbnCSIkwRXrl5zJONKZpn5J+N6E2zvTH4M5dCPryRHG2/sUm07AVeY3vm5+O9MCQ2UPKx9\nLBdyCviff/lJtx2EzDkULeTwoqyVoZTbYCzilYUdGIUOHB6XoomxmCpD4CCd58WLL0FD4Z577qmY\nt76+7qzSGcYxFhcX5esSyROFNeRV0lhEgwAIAlx44QJu376DM2fOVFsrJXpYbF7+1iUgMefTwoJs\n2yCZb41h2t20oEYUqcZwJa9L/t+ALV4MQZN/dtppj2tO5jrvOKYUOu02Ou220JgQkkM/JDnE+EIk\nQhhCSgy1wxKlb9hCjoQZDQhDfPLP/hxve9vboIR8iMFggCtXroiWX71+A/2NjYaLmKvExU5OTYmz\n1+e/eQFhFOHUqVPiqFtbW7XC5bU3rmCw3UcrCqum5PetiVOltP1/g9CWGHYxQjLm70bwkKV6RGcf\nR69aJ9AAAjUSk0F2DSqzU5WenG2HEhter8DP/9KvTNaRkDmCnhZCCCGEzAT0tJD5oggV1FTjlD46\n2tV8o7525SpeufQqvu/7f0A83+/3nYm43U4bW/2B5WmpqZhxGWh5PvLKn0uvvSZ6gHK2t7eLxwu4\nuH3nDra3t9BqLVW9DlIys/eeSd6LujIu6ZgycmDLFUWJ1hgMhhjEMYbDGIlOkGThrTiJkSTpzsSB\nUlBKIQgChEGAMAoRmp/DMNtoWWURR1/oq+66gYVe19+AEAKAooUcYs4/+RTOP/GzkBZ6bSVeqrH3\nynCsRPmhIMCnPvPnWF1dxenTp8URvvnNbzpHX1leRtQxBItZuluayFrofeZn566+/gYA4Nat29je\n3sb29jaWlpZKTZMkwc2bN2tFi9Yat9c3sLS8LOd7FLYbJtet4s7ddMeMu6ji/wCtEScJ1je3cOvO\nOrb7AwziGDrR0Nk9TZJU1JgiJBUuuVhRaEUttKIQrShCFIWj99kjDYIggLJDRKWInfTfmMbP/eIv\nj3dthMwpFC3kkGMmcuqi6mWYLVgqSPdzDYL0m3UYBOm35+wbtFvEVHNF0ikyb8b6Or747HN48MEH\nxd4bGxv4yle+4rQ6CBQWe11gGBfTWW9G85nJwLZ3YXQQ0ApaAa++ehkAsLW9jVarhVu3buHYsWMV\n+771rW85PUE5YRAg0QkqCahejVEnPuwcHV9FkFmR5G4TJ6m4unLjFja2tlLvita+kcvWZsMHahtB\nECAIAkRhgHarhU47/QGATruNdhQhDIMsF8b8vQh2ao3zv/rRBlYQQgCKFnLIOf/kUzj/kXTPlkRr\nXL91G/3BEP3BEIlOoKAQRSECpYpvzO12C1EYIgwDtCLPn4gZwcg/ZwvVixcuAoCzAujixYu4dOmS\nc+g4Ttx7n5RskKplzG/65aTiJEnw6muvA0CRZPv666/j3LlzpRDHK6+8gmvXrjWYXmFru4+KuFBG\nMuzYiamC4LLfiyJAFmsawPrmJq7euIX1zfrkYhvTKRfrVPQCQF8pbPX7iDZDtLK9VTrtFha7XSwu\n9NBuRWnSoO0BywdUioKFkDGhaCGHH2PN29jcxs0762mlSFaeqwKFQAUIglS4tKMInXYLdx0/VvQT\nF15XVVEY4rmvfg0AcPz48Uq3OI7xp3/6p16Tj66tucMtuU3FvFa1U4nygf5ggFu3bxefB4MBLl26\nhPX19SJEtL6+ji984QvY3Nz02ghk4RBlCZZ83rGjPNJJR5xFHMM4WOwIrDEcxrhxe30iweJDa404\n1kjiBINs5+L+YIDhMAYUEKgFtFqR41eSevUIIePBvxpy6Dn/5FM4/+RTUCr91j2MY8RJUuQwxNmi\ns90fYGMrFTU37qx7S2bT43aIKD2+vrWFl15+BQBw5cqVyjb9zzzzDF577TWnvUEQ4OjRI/7QRcmD\nYX2Nd23VEgS4s76Oq9eu4+q169mlaLz00ku4ePEi4jjG1tYWPvvZz+KFF17wzV5QbJjXdC8VL6bo\nEE5r4aT0ZOQ8/yfbt2W738f65mbhIZk2GqkXL9Eag2GMze0+1je30B8O0/BaRXxqtKII/8uv/NNd\nsYeQwww9LWRu+N9+9aP4b//hT3nb5N/Et7ezBwX6PAOOyMXz33gem9mDEK9cuYLr16/j2LFjuHDh\nAgDgE5/4RG2uyOJCDyoIgGKh9RhSnNIer1D6MhwOC9tybty4gU9/+tO4cOECbty4gZdeeqkitFy0\nWy202u3ywuxKaPbub2LdTKWEU3ZGrxbvf3Gx2Rhb/T4GQ39C8bRIvS8xBsOh4NVJjey0O9yThZAJ\noWghc8Wpo2t49Y2rtaLhnW9+KH1jL4Rm0mslcqGAIMDLL71cHH7ttdfwR3/0R1hbWyu8F7eN8IyI\nAtZWVqoHbTvMj4Vt7jGhFGKHGLl8+TKuXLmCOI5r741Jq91CK0tCHc1lJ5tidH9cbUrtXdU3Uugo\nFyhWiMzwyiSJnmpYqI50k7qRKXnVl1IBuu02Thw/5ulNCPHB8BCZK87/6kfx9ofO1TcUExEaZJSG\nYRF6AdL8lRdffBHPPPMMbty4gRs3btQPEYQ4csTOaSll+5ZDQIWe8YkNXTTJq6Nshnk4YwyWFxfR\n6zTcY8R7+0wPjHFYG6/OPBb7d2OKSlWUI+8ZKq2qisKwKKUPwxC9bhenTp7Af/0//Mze2kPIIYKi\nhcwdv/zUP8M9J8b8tivmJlQZxHFJtABpyKluvxOT5eUlLC0uyvPlYkUh9S6U1mqfKkgXT62TomR3\nGiwtLRaVM76p3c8jsttaiqWUV5R1aiDOzHyjditq9LubFkopLHQ76LbbgFJotVqFYPkv/9H/uGd2\nEHIYYXiIzCX/56//3/jQj/94UfVh8m2PPJy+ycVBltBZwc7L0MDrl18rdpydlNN3343Q9g7ozBD7\nOTe1jFwUWmtsbGz6d28dk2NHjqAVhkbujcMGe05TyOTvldVHSswtypxtNxMcn9O8m72SLEopLC30\nsLa8hKgVoRVF6HTa+JlfOL9HFhByuKGnhcwtH/v4x/0NFEbhCik6VNpqPm13++bNHdnUbrVw9sy9\ngi1S4mr1rdDRaKfRHwwQhmFVFI1JPsbxY0eNGayypWKDEyWfVxqjJ2MLJdO6/LEsEBUqT+C2ybwz\nYRjuWXlxp93CqaNHsLy0iG6ng163S8FCyBShp4XMNU8//TQ++MEPVk949xOxyb75BwHW76zvyJ6V\nlWWcOWNs+68B+TlJRiJuQzuVUkgchT3jsrDQAwCsrq5moRfBkIrdPq+Inbzrqy6CHHISUQiDtDQ7\n7vebdJiIfEfcs3efwvEja2i1IooVQnYBelrI3PP0008X74vQUJFLYX3jL3Ij7L1B0oqXy6+/viNb\nTh4/juOnTo4O5FU3WjdcpD0bnCgFFQSI4yTdcXcHLC8tYXlpCd2lxbJtdjWTy+a6a6koK6FayuF4\nKh9Mxc7Swu48kDDNX+nigTP34oEz9+Leu05idWWZgoWQXYKeFkLg8bgAcjmtkKOh4wSvZg8jnJQH\n7z+HQHKdmPubmJ8r6R2SG2WUD7O00MNgMNiRjQBwMivb7eQPdZTKwF3mAFUvjJk/VJNPXOkjHi//\nztaWl3D1xi3PwM3Jn/6slMJCr4vveOzt6HY6AICfYmUQIbsKRQshGU8//TTOP/FhVJM8rTCGnTCa\neVlUGO6ovDYMQ9x/7iwwHMK5ekuxHecib5dJa6ytrCAMUwfrpN6WQCncnXmD2oHreg37aza8K+UL\n5VVC9l4tdXOYCOJtoddFGAQT74qbV1wFQVDk89xz6gTe+sA5/Ff/PSuCCNkrGB4ihBBCyExATwsh\nFXxf8YXk0iysoYMA/R0kez784ANYXVnJQkDlqp/84X/u3WEF02xvhdZYWl5K5wBw7Xr9RncSS0tL\nuOuuuwAY33pEp0d2UDk8J87b3MTLYvf3lEgDiMIQq8tLuHazWYgoLwvPPSutVqv4icIQ73j4fvyj\nDz/RaCxCyPSgaCEkIw0Nmbiqduwy3nSR7W9s4Iq1sVxTup0O3vH2tyIIQyCJy/MW+SJCDoh5oMh7\nQbVEOis/jpXCXSfT0M6kouXkiWNYPbJWPljJR/GF1OzzhdHCbKbgMd5X8oqqOUY2dx8/ihu3biPx\nbDSXb7oXhiGiKEKn00Gn00Gr1YLWGr/2a7/m7EsI2X0oWgixsZNdKxhJsUabdqeDtZUVvHH16thT\nnj19L+47czrbpK2Bm8EnAko5HWUvR6QUjqylgiMIgrGfyRMGAU7fey8Wez23Td5kWlvw5R2Vo5+q\n6J8Gk4i0WxFOHj2Cy1evjYYzHmmglEq32+/1sLi4iE6nA6UUhoMB/o9//s/HmosQsjtQtBCSU2yP\nb3ksXIujJWoGcTzWdv05vW4X73z07Vjo9SbYbj6zz66+KcwuL/rtKMLakVUAaeXP5uYWxmFlZQXn\n7juLKN+sLS939gmW4j4CDgUy+piHxsRbLnifxkEpnDq2htsbm9jY2iqqgPKN9trtNpaWltDr9aCU\nQhQo/NOnPjr+PISQXYOihZAc30Lp2jXeIAImqk556P5zeOjhh6ByweKaS9yjxCw1Njw/ktjSGgjD\nIjwUReP9+SulcN+Ze3Hy5ImRuGri8LCreaTQVr4XTSmkJeyEVyckC9Em76IXhCHO3n0Sb1y7gVgn\nWFxYRDfzGi0vLWK518HK4gL+4T+2Q4WEkIMARQshTahbmDWgOh0cPbKGm7ea7weyuLiA/+Q734O2\n+fyeXIA0yNNwb1YilBsrBcQx7rorFS0njh3D7dvNn5O0sryEt731rei125ZHyFBZYtKt5Q2qXJ9k\nP2RvSmW7f8EMs69wG7udNu675xTanTbWVlbQ66Ybz/3kf/eP3WMTQg4EFC2ESOSVOlp5vtmXF2Pd\n748d3nn82x7DXXedAuLYk8hqz2mcz5+/o6wmrs8aiNrpRmjveOsjuHT5Mra2tmvtVErhoQfuT5+L\nZF6j7UURTc/jVeZJJRxq4EHxqUffPbBOBEGATquN/+ZnPuIejxBy4OA+LYRAqBxSmUtAGcIkq8Ax\nGpVegijCI29+uPGcZ+69B48//i7Lw2IiCSBVbqi0f7FWsLwTOt28bjjE6dP34t6772701Ocja2t4\nz7vfhXYUycKsuDee5GXT+9Rzuv8AACAASURBVCFcSvVCbHEkTuogT6YW7EBaHfRPfuEXPf0JIQcR\nihZCXGigUYVKvnYmMY4cPYpWq96Bubqygh94//uw0O14RIDyr8sw7fM1tBJYtU53x11dwZsffhDL\nS4veGcIwxA++/704cfw4xn7iojbf5ELCZastCOuuzed1Ec4Zw/z8L/2Kuy8h5MBC0UKIi5LHQjuS\nW41DicZDDz+Et775Td5hFxcW8Pe+/33pVviuxF0lLfC+fI4sBFO010Lz8oEoivDIW96Ctz3yCJaX\nlmRbFxfwwR/6ATz00INpCKuulNmes9AdpgjxhIDE8NokIglOWyaoOyKEHBCY00JICUcli7PsGWXh\nEsd49NF34PkLL2J9faPU9NjRIwCA97/37+LBB86NqoWsqUvzlaplPHk1JWOy9xWRZfVPEiwtLeA9\nj387lpcW8eLFl/DG1avoDwbotNs4c++9eNe3P4a77747ex6Si/xeZa9SCbSUmGtjP1HbbNqkSqmy\nwZ48XZNwGCHkYELRQkiJ/Ou44FHJT7u0gAaQJHjgwQfw93/4h/AXn/srvHHlCqIowsMP3I/HHn0H\nAOD48WOpizPPA5EW62JsQQQAlpAxBVYDoWUyjLG6soy/9dijOHPmNG7dugUkGktLi1g9dhTLvR4C\nX3KxRnVul0CpK1cu9c3aNUnSLbrYVUuuOShaCJlVKFrI3FPdvl/ADhVJX+PzQ4MBHnzoQZy9526s\nb2wiCEN0el108n1RspySUjWMwytQtcNQT469SCrjSNVE+ZxKAUmCTruN0/fcjeSuk4BOn+Rc5L/4\nUMYEku2e0mMnvutqaotLVDbUNYSQgwlFCyEmlcVVl70JJc8C7MZZGw0MBmi121gz9zQplQob/ewI\nj02x6FqLuehdkQ7Z3o6KwUU+SWCu6ra4cgoPW3gJYRozt8WlGvJ+omAR7pf4AMl6L44ee9dhQshB\ngYm4hLhKa/MKnpJQGGOsfNG3y3ft9r4N00zEuXX51d5VFzAExARVOKUQlGd684PvfuXhNdGUhj6Q\nQp/ktjV24QAa3gcmEkIONhQtZK5JQ0N2wkiGqh6q3xrE8DBUdk8z2hXjZIuudyHNO7g8EEa2arGN\nv9S0QWzEVf0jVQaZ5zVQbHRXN7BLZ5Q8PD6jJqRpzgsh5MBC0UIIIYSQmYCihZACweOSJ3eWnB2O\nzUCU3c+R+2LvYltUEAkehfypxxUvhu2NMOZweW3qHBZmebFEXRjL68UYw8VR8gjZRhlhsIo5jt+L\nvTsuo0OEzCwULYTYVASCskIaVlKo2a5RvoSdOGOFdqSmlVNKtkfMPdHVZr7zUqWRJyWnlBhbCac1\nVAjO8W2jjNeKiDJ/L2aYTjmbEUJmC1YPkbllVOps5Yt4E17NKprcQ2L08Zb4WjkuldJeIYlWPuDG\ndEoU6S4OMWVWH5W8SKZ92XlliCuzgkpJ4xlj5JvO1eWT5KKnNBfcfRTKY2rrd2Gm+tC1QsihgaKF\nkErcQAjFiEJDWlh1WSiIgiExPBjJqF/x4sp4tY5r441dhp0v6lKpsCuMZAutUojL9HAI5hVjCJ4e\nM8LjFS55sm9DV4gkmMSIHF0rhBwWKFrIXJJ6WcxV1Leiml4Yq40Y/tDpgwXzV61RESp5KXTxmtsg\n5WpYY4tzW+GiYr8T4X3JC4LyOdOLUip1ViMbc++JfW/MMSveltFw5XwV8YQxhB4JGdFzZc1nCkXJ\nljrhRAg50FC0kDlG/FpeJV8883alzeIM8VH8JEASZ+Ik/9HVfqVXWGO67JG8LXokPPK+RVjHEikq\nKIuSICgfVwGAAAhU+loSPNb1m/ZU8nEsz1R+D5073ZrCxgoTSWJFK1S8S6Ydrg0AKVgImWlUze6Q\nDAaTQ8n5j3wY/ufZWGGe4u8kSZ/MrI1XHafvk+x9SaRoq382NuDw0kxCbdyl9FIWMaY3JhiJlyAA\nVFg+HgTlNsVwyprD9n7AHx6SjkuektLuvD4BZA0o5esAOP/kU47+hJADgPgHTk8LmTvOP/FhY3G1\nF1bL65HE2U/2lOP8fRIbokXwpowGkY2YVpiicADp8jElNHKaJggQZXhZbOEShKmgAbJjodU+GI1r\n6BmnSJSO+7wo5nsxSmUKFlPc0M1CyKxD0ULmEDPHIQ8/ZJ6VXIAkMRAPgHiY/iRx1t72pOTjNZ8S\nQP362VTUSG0qXou6sQz7k8ybUSQIo7zoF8IkEy1BWP0xvTKFajHCV1IoKfeiVKqMHPko+fu6e1Ty\n1qBBB0LIQYaihcwhhmdFZeIjSVKRkgyB4WD0Ps9RGUegOKYca90cW3iMMVajto6E3zwpFpnnqeSF\nMcVLVBUypWcgWeLE+fgBOx/Fledi2FopI2+ibgghswBFC5krRnuzYBT+ifvAYBsY9kehn52KFImm\n+RxN+/qYVOQ06mcJGp2kneLhKB/GFi9hlL7PvTDmMHaujdeeGuNKoisTK1o6TgiZRShayPyRL7TD\nPjDYSgVLPMgWXyP/o4nIaLIG+tr4+o6zvkrhJymcUtfXlzBba0AWYovjTMAYOTCmeAlb5byYfOI8\np8hM5nV5nMS8nVICTWnoog0fmkjITEPRQuYLrTOxspkKluEgzVMR26K6wNV9zvuZ5/Y0rDNB/ybX\n5EMUEjq9r3GWH4TByPuSe12idto0iDLviyuMY1YPGWKmNF8Do80qIu8TqQkhBxWKFjI3nP+5fwL0\nN4Ht9SxnJYbTszJpaMXuP80qoXHyXKZxPU3xijMjYTlO0vBbnAmYYT89HrWAsJ2JmQBAmPYrPC65\nULEmcM3nuthSQvEUw36EkD2DooXMDxs3UtFiihVgOvkfrjF2IhYabr/iPLdf6RvOefWo6ipJAJUl\n88YDIOynYaOoBQStVMDk1Upj4VF2jv1aCCGzA5/yTOaHrTvZfivWt2w7R6WOLH1jx+te3VySpySf\nu8l4e7EuS7Yox/FSp3wjvqy0fLAN9DeA7Y30dbA1KjWX9r/RdTci96BZuS169OaXfv5/qr8+QsiB\ngqKFEEIIITMBw0Pk0HP+pz9UPjBpNY+vTdPckqZzNQ032ZU/49rgap+PV7e3zE7uYzGfBhCnVUdJ\nVnkUD4Cokybr5om75v4u3rCRVDlkf1ZIEua1EDJrULSQ+WOSEuVJN1RtIkycZbwee3zHx7FBGmuv\nEnilOXQySpLOxUsrEy9By7hPDQ3TgPvxATu2nBCyx1C0kEPN+Z/60Bh7fWRIQmKvq29c9pniaVqe\nFXvuaVc8NR2vVJKclUvrvOJomIqXsJ1WHnkfmGigxjWCEHKQoWghhxtpMW6yf8pO91ipQ4pMNBFR\nTcTFTsutJwlb+cax7TFfpXbmZEn2rKc8dNSK07BRGBlJtY6+jX/ZhJBZgaKFHFoquSxNwkJ2u51+\nQR9HWIxb3lxnpzmHa4yxvSAT4Jq/0XhGmXQ/GT11u9VNS6TNJ0r7Bq9sfNfYAELIAYKihRxKKoKl\nCVKprr3wm8eajjnO+aYixjWOJBBcnpdxIieThqImFVPSQDoGhtsj4dLupeEiIA0ZAULIKNv9VsEI\nKSnqFUJmFIoWcjiZdmjEJy6azu9apF1CZZwdb007XUUxLvEwjgfGJ0Bc19vU09Lkd5Yn6uos36Wd\nDR51RsLFHlC8Tua4EDKLULSQQ8f5nxaSb13sRt5Hfr42Z2PC465zO00antTLk7f3eVWajtEInSbn\n9nUqXID0tdXLdtJ1DShlOhNCZgmKFjLfjOPZsPtox3uz3aTrYhNPDlBdh3fCTsXOuP19Ibe6ewuk\n4aJB9vyiYs+VXjlUVOmbHRinbJoQcmCgaCGHirE2krMZ17PR5Pyk6+Kk80k0EQBN+o5rS9N++a77\nLgHmFW/ZE7pjDWxnjds9I0HXmEMZg1GvEDKTULSQw01d3sROFvRJk1P3AjvU4/OGNL0Hu3Vd43qk\nxPyZJE3ShUo9KK0uoEJHrlDDPV4IIQcOihZyaGhUMeQI4Who6ERDaw0NDQUFpUY/u+KpmOa+Zz5P\nhfTZPpfdAwBAUj6ntJreNefn7flrE3AhC5BSG50Kl22VelpaXUOcGAOUjhFCZgmKFnK4aFSBgtJC\nHccxhoMBBoMh4ngIQCEMQ0StCFEUIQxDBK5nizrzLTx2jLvv2bRLks18GA1orZEkCeIkRpIkqXjL\nhFsQKARBiCAMEATBSMA0LVf2ebbq7DRp2kcn6ROiVZDmtoStslel+N3T20LILELRQg4FxXb9dd/w\n8zYaSJIE/X4fG5sb2NzYQH+7jzhJEAQK7XYb3W4X3W4XnW4XKkwHVvZCJy3IdYv6JJU5k+ISLAB0\nopEkMQbDIQb9AQaDPgaDIZIkhtYaSqXirdVqo91Of8IoE3BNBUZTj88k1yjdew0AmXAJIqC3BCAc\nCZRCKCos9HoTTEoI2U8oWsjhQAqzuEImmXdha2sLN2/exK1bN7G5sYHBYAhAIwhDtNtt9Lo9LCwu\nYDFJsNBbAABErQiqqD4RbJDe+2hSsTSNsYzxtE7fxPEQ29vb2NzcwubmJra3tzDo9zGM48ITEUUR\n2u02FhYWsLCwiF6vh1arld6DprZJYbBp5ce4ysqTIdBfB6JWmpgrGBsEDu8ZIeTAQtFCDg9NvtVn\nHpbNzU1cu3YV169dx+bmBuI49S5AKQTDIeI4RhzHSHQCFQQIszLaIFAIw2gyIeEqU266kVsdDfJj\ntNYYDgcAgM2tLazfuYP1O+vY3NxEv7+NYZyGiHLREiiFqBVha2sLw+EwzXEJUjEDZPkudbZKYTCX\nl2RaXiiN9CGL2+vprrlhhPThiaNOiqKFkJmDf7WEEEIImQnoaSEzj7dqyPr2rqGxvb2Na9eu4sqV\nK9jc3EQSx6NUD53W0CRJknocALRaLXQ7XQBAp9NGEOpyQmqDyhxvvs20wj81bTU0hvEQW1tbAIDb\nt27jzp3b2NjYQL/fT71NSZLei8zTkgCIkwRJtnmbUgphECJYSL/vhEHo93Y0sXe3yqihgcE20N8A\neiuViX72F35xFyYmhOwmFC3kcOIQCvEwxo0b13Ht2jVsbmwgTpJKJ40s72M4RL/fx9bWFgaDNKSi\ntR7lczRlWovyOALADr8gFWKDwQAbGxsAgDu3b+PO+p2RYNFWCXAm4GCcC8MQnU4HrVYLABC0gzQ5\nuekW/k0TlKdVBo44FS2tLtBqT2FQQsh+QtFCDh+OHAmdaNy5cwdXr17FnTt3Ck/KiPKCprVGkue2\nJOnOq0mSFJU1QpfJFttxPSjSvLXd0mvpb2/jzp07AID19XVsb28jjuPa/nml1fr6elFRBSAtCVce\nb4vNtNvVjaEBDAepcIms8mdCyMxB0UIOH7a3IVvo4yTGzZs3sLG+IQiWKhpAku1hUkrenEaox7Cr\nJLAm2a+kyVSJxnAYY3NzE5ubmwCAwWDguQ9VQ3Tmqdna2kJ/exsA0O10EYTByPvk2xfGtH+SSqJx\n9uAx59MJMNgE4sU0KZe6hZCZhYm4ZKY5/9Mfqt/YNBMZm5ubuHXzFgb5Q/YakO9VEgTp5mqBMhbo\nnEk3VrX3dIHw2ccY86ZVQ2mJc7/fz0JCw2pIqGRIdbo8xJT/VESPL+zj2r9mmt4X1/zDQZrfYpw/\n/5EPN5yYEHJQoGghs0/NYqaTdIv+YbbjrXuhljrr8oZsklLIF+O6YV1tbM/NThdxYQ6t051/+/0+\nhsMhhsMhEq3T62tKmuyT7iCcj5GLlibC0fauNLln5tyToI03g63RZ60BBZx/gsKFkFmC4SFy6MmF\nRp6LopRKhYsrlKGMWI1SUEG6nT0AdxJuk9yWaYYlfKESSyDo7H9JkiCOk5FoayxYssGE+VRdaMs8\n1lSY+e7duDk9ZrthfzRAcVwXwuX8k081HJQQsl9QtJDDS7E+ZYJDAVGrhSAIkMRxaeHKW6bH8moY\nhSAI0mTTfDO1QFgtdyJQprlbrBRmMsZRatI81FGnXPQFKig++0SNs4Jo0rwdV75ME9GoYyCJ0+39\ni3OjRhQvhBx8GB4ihwt74TZ+lArQarUQRpH1DCEhs1alC3IritDpdNFqtdBqtdLFWhIo44Q67L7m\nq/3el3JinzOv1xonfWp1MMrNCYKqgqmxXyFNRA6CAGEUIoyEZ/o0wZeoOy6upGhRLCXp9v4KDi9T\neowhI0IOLvS0kJlF3FTOs3hGUVTsMTIcDsubygnDRFGEbq+HhYUFtFvt9LjtaanbOM5s0+S8VP3i\nomHFjYLKtt4P0Wq1EIXpIwn6SpWvXxxvZJAKAkTZc5miKNunRTkufhzPkS3SdhJGq+sfD4EWHC4n\nlhURctChp4XMDa12K33wX/bQvyAIRKdJEARotdtYXFzE8soKFhYWEEURoiiq5rRMUtFiJ6FOkoRr\n40vyBRCoAFHUQrfbQ6fTRafTTa9H1fwTkD1bKFAKURih1W4Xwq/Vao1KwB3zVt67bM9fd3L9+Vz2\nfTA/xwOhQbUtvS2EHEwoWsihR2X/i8IIvV4PS8vLWFpaQrfXQ6vdTgVJGGaeiDa63S6WlpawsrKK\n5aVltDvtUUjFxLc4ut6nBpVfXe3Gocbbo5RCGIXo9broLfTQW+ih0+kgDEMrVFYdN1AKQZh6abrd\nLnq9BbTaLbTaufBzeFp8n23b89em/aR76spvMT/HA5RdQO62FC6EHDwoWshs41sMzUVMAUEYoNPt\nYnl5BSsrq1haWsbCwgJ6vR463S663R4WFhewsrKCtbUjWFtbxcLiAqL8qc75j+nVkDZOs2mSJOpq\ntxOs6w/DCJ1uF0tLy1haWsbi4hI63Q6iMErFh1LlNKBsj5ooEysLiwup2Ot2C89TYHpqpHtiX9u4\n19T0nvramugmvzDQ40LIAYU5LWS2GSPnQymFKIqwuLiIqBWht9DDdvZcoSRJy6FbrTTvpdPpot1p\nIwrtpN0G845pl8g4eTDmZ1eJMbLE4lYLC4sLaRedIFAKG5sb4vOHAhUgDMP0nnS7aWhtYbHw0ORj\njlU5JSUZjxsem2QH3fz96imrjZbzW/Kyd52WRLOiiJCDAUULOfyUKppV6nHppB6GbqeLOImhk3Sz\nsTAIEEZR6n0IA3+10DTyNpt6XerOu0JOZhM1euBh2lRl+Tut4qGQcRwXC3kQBGhFLbQ7bfR6PfR6\nC+h0u2i1omqorInNJtO8f665m4ghZ2jMrIqicCHkoKBqdgfdqYOakF1DrB6ScCRpaq1HP9mJfA8S\n0YMwLjvZb2U3BVF2DxKdbsnf7/fR3+5noiXbMTi7D1EUodVqod1uIWq1SqGkgt0uupnW/QCA4+dq\nBvdNlp6jeCFkTxD/EJnTQgghhJCZgJ4WMrN4PS0+L0PTxFi7DWraTTr2NBhnXxTjrzrRCZI4QRzH\niOMYSRIXuarp4wvSvJb8oZFpsu4UvFB11Ds8xr+3x88ZfXR2Hxpci5D3Qm8LIbuO+JdJ0UJmmsYh\nonmjbtEHSiKnFCYzc4CybfsVIOd/TEOUNRGErn6uiitprGPnJrA1T8iVx6R4IWTXYHiIkLFkuFTC\nu1cyfqfzNC0xzhZj26sShiHCIEzze6RNYOzN7Ny74vvnbrKjsDSmz6sljPX2t729uTetRObScdxP\nlkQTsrfQ00JmGtHTMs2QzG4nxe7WGOOEx6Y1Z9Nxdrrz7SR97QRcbcSYXBVErnJoD/S8EDI16Gkh\nc4L0Ddz2DEw6Vj6eC9eOrnaBStOdXutscY0xTtjEN7cvxDTO/Wy6F4trg7pJQ0iVAWw7pI1j8vPj\nun+A80/87Jh2EULGgaKFzDTnf/1j9Y2U8TMNxhnHtX9IzfYgJXw7zfrGkDZ/bSqKJhF50wijmfvN\nuDavHXPsb3vnO1G5sebTqbU2PC8N0NqyoazIGDIiZPegaCHzi+vb/E4W3zovwk68PS7vyTi2NBVc\nkrCyRYRrgztp6xPpvY19f8YRdp4xv/Ctm/6JlRK8Ko72Om+v8R8//efOIelxIWR3YE4LORRMrYpo\nr3M+mpT27gW7OddeXoc15zve8Q48++rtye3RQLGl/wQwx4WQiWFOCzm8NAoTmbjk+E4FSJPjdWGb\nSfNP6vB5esZP35iM3fwaJNzXZDisths3vKfzWFXV+E9+5i+83RkqImS6ULSQ+WQ3vvk3rdax8zWa\njJOPVdfGbGvPURfyqcOX4OujSRLupKEzaZ5snHc++k4898amMUeTCYx8lZJ4lBORvuc73o3f+J2P\nw3cBFC6ETA+KFnJoKHlbpvmNvul+I9JnV3KrKx/ER5M25vjTGtPXdgcJspVx6sSchEucAXjm0k1L\n6KkG46tqDpEvHSZIN9975dJlvHLpcrVx9pHChZDpQNFC5otxPQvme1dJsL3gNhEMuxUmGbdEe5J2\nuzG3OYYrcdd3/y0ee+djZZucIbcGilTpUVPBW7O6sow/+dRn8Cef+kx5AsszReFCyM6haCGHisLb\n4vuWPG51kCRMXO2ajNOk7TRpGpLZjdCN7575hGDd+5rxvvjKdWNwQ3jY7Zv8InKxojCqMjLEy/u+\n57uK92moyGhfzJNC4ULIzqBoIYcOZ1Ju/s3XtxBqq+1usBOPxiQCQkoElsqSXQJvtzxHrnHHFZXW\neI+987FMXNQoxGKPFmkejWLvFqkk2vi8uLBQOvUv/tXHsvPZwJJgIoRMBEULOdyM803d1a/J8XFo\nkrvhq/IZ1wZ7Pmk9d43bNI/G127csJFrvxfX3NZYX/zWjYZGIBMk1pzmudJcDqM1cP/ZM7j/7Jms\nm8Kt27dRdtGNOP8R7uFCyKRwnxZyaHHu3WLmN9QtjNPwuDSZAzVt6sbfSf/9xnd/xr3/9jOGdjT5\n+G2L8BCAn/yJH0vLpUtdRmNwDxdCvIh/bPS0EEIIIWQmoGghhxZnbss44YdxvoS7Po+ToDsJvv1X\nXHkqLnsnzSfxXX8ddaGlnfp7tfGmMlbNjS/dFyGGZHmq77nrVPH+N37n95xeFkBzq39CJoCihRxq\nvDvlTiOc4tt3ZTeDq03HduWpuPaJsXOAmswjJfWOe29NceDYd0Vsb34uhYaMBsp409guXe5rX18x\nZHnA7/ve7yp9/t2n/9BsbL2f1XgeIfsHRQs59Jz/9Y9Vxcs468U4Zc7jeFiazlNXFiwxqWiyxUNd\nGbTUZpK12MwvamK7PceJc4ZtLsMb3BBtXJTpRTHfVx6umI+d9nvbm99UHN3c2kIlb9Asgf4IS6AJ\nGQeKFjI3eL0udfu5+I6Z7DTMM80xfYJKOp6v9bZ4mKTMWprTN4atM5pe87H70h/UiYqGg5ql0uY4\nxf4szo5Fv3c99o6SUPnN3/29kegx73HWjXu3ENIcihYyV4heF8Bf7jtpyGRcfHkok4xj03Qtl6IY\nUhtfLo1rLBdSybGEef74OYz2UGlYmz1usaS2PlSuVx7wR3/w/aXPv/G7v5cKmaI/CzMJmQSKFjKX\njP1UaJMm62PT/U2kPjtNdTCF1U4TYpt6WaTcniYCpEn+inQ+z1/RGsUGcXW2FTkthtej1K8mpKRN\nZZXnvKjKIUBjbXUF7VarNNJvffxpDPOnTlveIHpbCGkG92khc493PxeXJ6HJHi/TYCdz7IV9Tea3\nX3fK8fuE/U/MCZvapz2hJKGteRHOXB/jvAb+xe98DMqYIwgCvO97vgvHjhxBKwqhgtH3Ru7bQkgJ\n8a+MooWQDKd4mRRXZdFujenLP23q+fG1c4m4nV7fOPOaFUJmwq3Kk2ezc0rqPM6kY9jqHErjhRdf\nxqf+4nOVM6sryziyuoLT99yDB+47UxI2FC+EAKBoIaQZhXjZKy/HfnlE6qqDpiFQ6ubAGDYcP1ej\nQcY3UGtdJM0G0jOGzCHNOca4d//y9/8A/f6gMm8uVJYWFvBjH/h+KJV6XShaCAFA0ULIeIwVNpoG\n43hmpuU9mVafnY5ht68TLHZopzKfwwAjfKOTBOsbm7izsQFkrZeWFrHQ65U8Hzt11ugkwW/+69/3\ntgmDAP/Fh340/aAUhQshFC2ETEajsFGTvA1Xsqrvc5Mxxp3DxyRiw2XP1HJYzgn5J9bEjYTF6EOS\nJLhx8xYuvvItXH7jSnosjnH82FG86YH7sbqyjCAIRt4Vnf1ylarPhRHO/9UzX8KXvvo172V2Ox0A\nwE/86AcoWgihaCFk5zTOe2kSPphyusWeekiaeoV24hE6ds6o9lHVhk1CWELYKIlj3Lh1G89fuIiX\nLl3CxsZm2lRrtFoR7jp5Am956EHcdfJEKly812H+MmHYZgiX7L35MEUff/s978KD5+6jcCHzDkUL\nIdPGK2L2SkS4RNBuJc7uNmM/qRnGdZmixq700YAG7mxs4hsvXMCFl17G7TvrlaHCMMDRtTU88vBD\nuPvUCXQ6nXK4qLFbrXzulUuv4k8+9ZlGl/OT/+DHcP5XP9qoLSGHFIoWQnaTqVcf+djLqp1x1uad\neFZKlUENx3HFwzTEEE6/38eFl17BV7/xTdy4dcsxpIYKAqwuL+O+M/fi/rOnsdhbQBiFlngZh/SC\nmnpbzt57Dz756T+bcC5CDgUULYTsJXsqYnKaembQoF2TOaYhniTPyriVTbVoaA1cv3EDz3z5a/jW\nq5cRx7G7dVbd02m3cerEcdx96iTuPnUSK0uLpb1VCoPyjedq7Pra89/EZ//qi40s/smf+HGGiMg8\nI/41RXttBSHzgr3r7lgiZhwPhnmuiZiYNI8mb2O2m1Sw1IWAlMNbYifWmrvUmrvTVuxSSJIYb1y9\njhs3b3oFC4DCo7Ld7+OVVy/jjavX8NobV/DwA+dw8sRxRGFYGtuLYc+bH3qwsWhxPSKAkHmG2/gT\nQgghZCZgeIiQA8T5n/rQzsM2u5lsO+nYdZ6VHeWwNDinNe5sbOCLz30FF19+BcOh39MiEYYBjqyu\n4oFzZ/HA2bPodNpj9B5d4L/9xKfw6muvN+p14cKFse0k5JDAnBZCZoH7779fPB6oAP/p3/8AAKAV\nRWk45MqL6clJ81R223TengAAIABJREFUo8KoECgNY1q1G8VZ3Yr9UhztHPuovPb6G/jCl76M169c\nRc2/e1563S7e/NADeOThh9Bu5w9FdOwbY+7zYkSyfuN36xNytdZ48cUXJ7aTkBmHOS2EzDK9Xme0\nb0j+92x7MMzSX521q+x1YrfXwJWL5fHMNbi054g9jEN8iNU7DhvEipysrd1FYXTAmbNTPRHHMdY3\nNrGxubkjwQIAm1tb+Mo3nodSCo88/CBarVbVmJLHS1WuQSlVa4dSCuef+DCTcQkxYE4LIQcIl5cF\nAE4cO4ZABQhU4N7orDiu0sW7EDBKTuzMF9Xj58oeEmWMlXs1ivbmlNnqrGvamQd9a7W50JfG0XJf\nbR2TxtYa29t9XLtxs/IMoEnZ3u7jK19/Hi9cfBlaJ4JR8Eaw/vMf+5Gp2EHIvEHRQsiMsLy0WK3e\nMbEX8IJcACh/Q222t0SO2RX2ccOT0CSsVBIilh3K+qytZraIMe+H1tb8o7E2Njdx6/ZtDOO4OueE\nbG5v49mvfg03bt62znhuQnYqipo5uT8tPCGakHmGooWQGWFpcdGrWVLPimNBVvYHKUwjjCe2cVgw\nlhZQqNphhprMZlKOimSDmRczCi8lWmN9YwN3NjayUufpZCkrAOvrG/jSV76GOI5ry6ht3v6WN9W2\nef7CSxNaR8jhhKKFkAOCLzQUBgFWlpcwWugdMREtLMgTOxa04W2p886gPpRTa4yqvs3zcpqMpYxj\nhlcpjmPcWd/A1nbfM/dkaAAvXXoVr71xBa+9caV8v7TZqsq3P/r22vEn3oCXkEMKE3EJmQGCIEC7\n1bIWc1ieD7lqplIGLeadOHazM3NkKuEXewxzcIxEhLbGaYQ1vydXt47hcIit7T50Yuee7ByVjf/C\nxdQjctfJEwiUMq7ZY6RSjRJyCSEj6GkhZAYIwgCdtrEviFJVz0bhkahZBMXokEONmI6W2q/90gKt\nqlpI6lZZuG2FJXwU7TFDROnLME4wjIdTFQf2WK++9gZefe0NbG1tW+LO9oqZgwD/4Ed+aGo2ETIP\nULQQcgDwhYYAIAojo9wZcMRlrM+C16MOMdEW7lwZkfpE1MqxylOUHR0aOWrK1TtaJ9BaT1W02A9O\n7A8G6A8GuHbjhmCKQ7gooNvtTM0mQuYBihZCZoBOu5VuKOdFW+JCTkwt5aeUFvLcQyCVJltqQUxx\nKVSCaFq1vWmHOaFtt22Mdsxh9S+0i0pDNjvID6kTPHki7vWb1pOjxw6LEUJ8ULQQMgN0u930232x\nzkvf3q24jzO0Y7SrHHd8tBdtZQskY1Jn1ZF0UBnnPVVJ5oMR8z1oKsOpkZ06tVEDUIFCu91uXGYs\nWloTGss9Of1+H4l5rxokEAdBwLwWQhpC0ULIDLC8tJi+KdZ57agUMkM75TBJ5b2E6NlAWRCUDXF7\nZGzvSiUHRzSgOm++0Z23kshob3qMMpvDMEQYBLXiY1JUllQ7HMYjAeLMwS0ffPe3vdNp10KvN1U7\nCZl1KFoImQE67TZU4PCEOMM4TRZoQSSYfc2wjZIEQ+5xsUM9GIkmu4+3LDsTHdI12SLMKV7KDQIV\nIApDtFqtNEy0i0RROBIgCnIYy+Lh+885z73loQenYhchhwWKFkIOOGEYoNvtWN/GVfmt1pXDVexK\nHMMVkFfw2JU8dthGrDoyf1DVTZU8YTkpdWSXXXFkV0e5bEFVJCgFpYB2u4XFXi97TtDkuMI4gUrz\nZnq9rtm6HMZy9Q3d/wy/6cFzE1hJyOGFooWQfcZXOaQBhEGIxV5vVABkhl0KsSIkysJuZ+XBmNv6\nmxU8diWPvdjaybzFcSEeJC7UplByn67aWb2Eyr2whJ1Cev+WFhexsryMXq+LVqtVeai0yx9S1UCy\nKmy322i321jo9gxvji2ymnl5TGHU6bC6iBATihZCCCGEzATcEZeQA4xCmifRyxMyzXSNoipIlyuE\nzATQ4tU+4JmwIK/UkdoInp1x80WaNrcTWsX3enQvoEqdoijE4kIPx46sYhgP0Yoi3Lp9B3EcYxjH\nyFOFivxZw9NR3FKti91rlRAGW1pYAACsLC9WPUPjXBvqK5UImWcoWgg54Cz0eujlYQJhKxNRWEho\nc2HP+uViw1w8i/dWDMXqWjknGWjnpoy9INf1yZWG4x4ohSBIdxM+fuwoWq02Fns93F5Zx8bGJvqD\nAeJ8e3+d7rcCBQyH6cMP8510k0QjiWPo7F7pbF4FoNVu4dTJ4wCAxUy8lMyr2GUctMNdpumeqyZk\nXqFoIeSAorVGECgcXVtDq90qC47KIm0thCKCt0VywIiLP6rCRWwvumWyt5Msw8qx8APyCSUej6II\ni2GIVhRhdWUJd9Y3MBgMsLW9jSQTLcNhjDhJMBgMkegE/f4AcRyj3+9jEA8xHKbvtQaSJEGcxGi3\nWjh6ZA33nDoFAOVEX6dIs10r8pW/6cEHcP7Jp+SThMwpFC2EHGBarTaOHT2CVhiWT4hVPNIibng+\n6hwWPo+AOedeuwBKXhwzBOZy91TiLUURU7fTQRS10O10EMcxNNIHHuYMBqlnJQ8dDYdD9PsDDIZD\nbG5tYzAcpBvIJRpKpWLorhMncPTIGgBkj1qoq+Syb7bsannXY+9wDUDI3ELRQsgBRSmFo2urOHpk\nFap47pBrJbQWQinE06Db6LNLADVQLJKHQQxrNcA1pa/CyNUp2yAvCgMAAVpRlOaxZKG3PJcl97wk\nSZL+aI3BYIAk0dju91Oxo4FEJ2i3WlhbWUa7bXpYMgFpVmdJrqzinpRtbbUiLPR6O9rBl5DDCv8q\nCNlH7veUO3c7Hdx18gSWFhbrkzOLcJGUPKtH551JrXa/OqXg2TBFEhCNcm6AdA8XIyTkDD25RFpN\nO6jRHJapKhM1QRRmteZhVt2t0e10kCQJlrGYiZk0dBcEQXWn3Vwsakm4SGE8jSAICrF0/5kzuOvU\nCXcdNiFzDEULIQeIvEolCkOsrizjyOoK2q4N0cxFsU5sOEM7HlHhdaz4hIE2vA21A1lD+nJYXPM3\ntdOYw7RVyrvJX7QGggBKawR5iC4XM4AgJg1xIlZs1buN3vaWN2FpcYGZuIQIcJ8WQg4YSil0ux2c\nOnEcR4+sVbfvHzU0dj+zXwV8G72ZGbZihZC1BVvpo52dm4kglbtK7PM1OJtP4Hqo20ZfeqSAbUye\nP2P8pJenBJNsd5bdwLeVXcrK8lKWG0MIseFfBiH7SJh9e1dZaW673cbK8hLuPnkSd504nj5zqBJu\nMRa9Qrg0yJItvB7mWJUGDmeAFauxQzfattEeX1UFhLR++3Jf8jmkNd8lTurCag00SzW1J/OiOD1C\nPs+KNGCax0IIqYd/KYTsI8tLi+j3+wCAKGphcaGHo2urOHn8GNbWVtGKIisdQkjudGyqVogZO3Tk\nSACtT761x7bGqCT/+nJdhKlKxwRblH09Qn6Izv7PJ1ZKl2S31UJlkm2jR9zZ81TayUqn2+lge7tf\nMyAhhKKFkH3if/25n8GZe+5OFysFtFupl+XI6gqWl5bQzr992xEH8aDxWiSxusJKLovq8i2E3A9I\ntjlo0s5Mxq21z4wjuYSEkYRsd1OSuFEQH+hoa8ImG+WZ+Tw11VxrK8u4eeu2fzxCCEULIfuFUgr3\nnb632CckiiJ02m10Om2EYZiFhVTVM5B2hlMB2I6R2nCGhyZ97MiQJBwAj9CxPSbChM5xJa+SqFAs\njWeokJLnqcabpBxtnXjElHHwrpMncfGVS+I5QsgIihZC9gkFYG11BdA6i0goBEqlYqW03b7ZSVrQ\nHRVA+Tf9unCGb42UhIUtOExPRuFdQHZcqCyq2GqIBOn5Sea45h4opXnNfq6KIG3YJNhih4VKT8G2\n7Co9EmESgVFWlqsry+l/C8U5ChdCJJiIS8h+oYAwCBCGIaIoTPf7CAJjsaxZtExPgNRUZ2P4cm+b\nkI9TeEzMk2q0iNvtVe7FsBJyzXalU4JHA7bA0NWImGVO9YS2zudvrHbesJl17UXlkNVp3PubJRd3\n2m1893sex3e/5/GSMeef+PCYAxJyuKGnhZB9w861yFdxadEVVtTRI4hlD0xD7eNOSrX7e0JMoofC\nvD4psdYaQxw7v0Yj9OOsMBLCQCXviULFm5K3EcdzGFvkDEnNBBvMPuKwGr1uF71u12cAIQT0tBCy\nL8jfoJ0r4ehtrmtyz4YvimB7MgCISabFuTp14+hb8aZI7RqEOnxN7FCRKUq01agSVhI+284fZR8E\n3GXUHjtLNujGgqjTbgm//kncYoQcbihaCCGEEDITULQQsm80/SZt5WSY38jFHA6rbeWgNW7FU+LC\nMw+U4f2xwy+6ZniXB0dyFVntK14SVx8L+zZI+SmmW8ZniuiRcSRHV+ZMXwP7Kd4VIwkhAEULIfuI\nJ2FUbOdZPHcyf0n42CES61hdaERrYe0XFu/SQm+Fv8x+YqKrL4TmCrFVBil39UbllL+NWNFVM38T\nMwkhFShaCNkvKgub72t5dr5Y7CbwmGjrR0SN2hYfVTOhNM5CXNqzRciH8eq3GmPqnjckisVp5o/Y\nCc2VxCLHx2nbQcjhg6KFkH3Hl+AKeJWA6XnwhYq0RlEu7BQXHo9KI7Hgm9910FjgpcqeUudGWa0Y\nlSPXUAoLuUSUdaw45ZtAWec9Yzt1So14I2ROoWghZL9Q9iI8xgpV6aqr50pzedwgtiYQB/KVKRm2\nuBZhJU1i2VSp+tEjUeETRJKtJd1gG6TF6UdzG/k59o02Q0aVNkL70rS2B8a2oZKsxBASIRYULYTs\nMaNyZ0GsmOKjaQkwgPLurbCSX2vEkLVOjmyxck0q3oYGdmmd/ZiTNBBnuUhx2uaa2BBXyj4nzWPH\nywxBUxJKgodE3ATQur7S77PhtZcmoauFEBOKFkL2GmfOhavaxNVey4t3vm7bi7Zz/dPlBToXKCUd\noEaLrvfbv3lej/qV9oeRFm8hOdaHKGIaeIOQC6hcnLjiZfbvwpeHIhmnHaLH+l1I3UthQcVdcQkx\noGghZK8pci6kUIK0GrsW4nxhtUJDrqck2wmf5uJYEhqAvKW+YJ/T4+F7L+EJkTXxGLnyeSrOClVu\nWxGQjjHEEJCjfTGP1c4UKiXHkyDYapOJCZlPKFoI2Q/qkmbLDfMTvsGMNk0EgiFUtLSamlPWiQUb\nT/uSF8E6Ucpfsedocl2OCb1hNjsEJrWx2jXOQbLusRQhK4WZHHYRQgooWgjZa7whAcBb/VKb5lDn\nCREGdD6gUfvFlXNINQox2fY6hzI8E9KjBqQN65rkezhLj+33utByIr7QWiOUfB9K5unRddHTQogI\nRQshe420MNpeDzvsU1fxIo6tR+P48mh8g3kXa0diRpEmYuTA2CJDEjTySj46VEyXC60GYqoyvhSS\na0CT6iefAXZT0aOjRtfVtGybkDmDooWQfcUSJmIYIj9tr3q6qmtKQkCN+pnVRdLUYmKsb9U0V2FP\nSCmft1LqqxxrvifHpJjOuJbCO+ExszS8dB9U1ZNTsUW41kaiwiNqKr8v4wQFCyEi0X4bQMi8UFSB\n5OkZlXwGRxJonlgrJcRWugu5H6XjlggoHA+5wMmbCOM3pZToatife26cYzpyarwhpbydLfhcXbQl\n4lzjN8ihUU2a6WpD4dDoRDYwU1oIEaGnhZC9IvcKVL60u7waDXJKKt0UGu2nYjR3f7YG8OXZONtY\nK/M4gsXb3m7XMEyjc0HguEfaEA5N8d3nPL9H9BjZjQXXEz0uhJSgaCFkryhyFionIIcdapIgzG/s\n9jwVDWCOb4VUfMmnTZJoRWdRzWpbyWkRwja+vt7z9jjGzSjsEzxJtrhoMp8rrUVjJFB9l1Z3udLv\nl5A5hqKFkIOGr3rGXOhzj4GkbXyOglw82bmllf1CHGEKKf2l0j8XTkpe9H2ekTpRUpekaoenmnpN\nXALE9xRnlx3K7KcbhMXyV8G7xVARIQUULYQQQgiZCShaCNlXxNrXapMiTNAkZiPlyAjH7NwK89k4\nFU+C0d+ZByMlAMPvVamgUKl0ct0ir0Mms7d03+zznr7e01JekjVucbvMJGrJ42QMUvoVOe41IXMO\nRQshe4WYb+vJW7FDPXnIoRQeERZju4S3CJGYYsBYmLXdDqMQVUmQqHJ736VUFn774nU6hzIW+VJz\nXb1++3wuSKTF3rTXTmbWDWIudeE1F9qYs5JEXRfWMn63zGMhRISihZC9ws6ZqCzqtvvAs3qJ3g0N\ncf8Te43Nh614WmwPjp0sK43nUTCVRGCPUXWVNFKysdnMKX4k01w3xGlMNc/GJ9wq53T5vDSePYZz\nJ19C5huKFkL2C7G6x/g23mTX15LGUWUPhXNeJSzclkG516VigkfB1FXHiF6m3HtjiY464eWyQxQk\n8IuEYjKPMKlsjpe3EVSSso9LSsYhjKTHE4gb3xEyn1C0EHLQqF2gHW19z+5xkoscS+w410lPJY3t\nHBin8sX0nNjjVj+gJHa8XguXmBEbOz5WEnyq44tjeG6oqBlzMWl7z0RjCZlLKFoI2Q8qG8Dp6rkC\nVW0jjpeHZCZZ5exwjociwdRIdhWGcyfs1ggNoJzsmnd2hXrsJzXLH4TP1qHa5zMpuU0pryYXjsIN\nqPNElY6Nq/oImQ8oWgjZDyqeBVU9l1N80fcsYM4nNdsDCYLIEVFxHiiEUYPkXHGYBgJJelZSJezi\nN7N8whYAdqIxICY4116Xtm6FFe5yzVXMaQo4WwQ2EKuEzBlK+7/x8K+FkClQPHdo2kzjy3iTMUqe\nHDRI0TATiwURVtIPwtiOrhWbxiqnFgepmWSH3W0b88+1/bJXBZx/8qnJ7SNkdhH/QuhpIWQvEMMK\nru8E1rd8s52Zw2EufJXqFrOPMLaJchwvtVHldsr6kciTee157fnsnXcLp5GRZyMl9Bb7ykgeJLO9\n496X7JuQOhOKB1Hq8udKvoxjbEJICYoWQvYCySPg3I7eWthKTyQ2cjiUtfC75istkEIsqMniXSzM\nUjtxta7mpNjnXfMUb4wxlHGuJHoy1STlBhVTOe59E1HgTYsRBJzDhEoJsy10aj1XhBCAooWQ/WWs\n5NdxOtveGjgEh8rET52nBeWF2T45ViC5iXdBEhqeIQuvS4PkVy+63KfiETHulbaESN5X2e0rxhr3\n0xCoJS8aI/OESFC0ELInNAhjiH0y6pJlK+ET2/NiNKqUCftiPDXzSvb5LlGyTdudmtwnwV5JlJUO\nCSGziudEVYWKabNZFVQkBudKRVmiq5K8Yxts2Wp60ZTYhJB5h6KFkD3BclU0WYy81ULWIFJOiP2+\nOGYsjpU5a2xqlP+C+nydUnttXatLRDWYV2xTiiuVj1VCWIKbxScYcxEj7hfjCYkVQsjnkRGGIGTO\noWghZL8oORdcCbI+fBmwRriiWKDtRblmyIpjQFr8zYZSjo3gTbAPS6k2LuNKXhnTc6KtNsLcttgQ\n9Y0vMcWwtTDBuLfSAycrQ9liyS/Oaqo7CZk7KFoI2ROs0EThTGgiKOoWLkfeRBGuqFmIS+ecq628\n0JfCPY6cGXEsa9xazMVemK8khmzhYHlMXNqrdMxhkxn1McuZ7YiW6O3yqTNlaM38vcb1Gzcd7QmZ\nTyhaCNkTHC6MSlhEalYXUqpZjUvjeBZNey5bpJhPVhbxiKLKqZq2lR2DXcLLUgtFcqsWxJAUEvIZ\n4ThUCBchEdefLeyf0oggaq3RHwzwv/9fv97EWELmBooWQgghhMwE0X4bQMh8YHwLzz0BWqVJqGKl\nidGnFE5yjJkOLE9dcghIHgjJRqFvaX8Ys4LGP32pr/tiLHsdSbCAdQ32uMb7yrVKx1zeEeFYMbwV\nFiq8O5KtVr9ShZF0HoiTBFev38DNW7flMQmZYyhaCNkT7NXdU1kCoAhveCMODeIcpf4+weIaTzJA\nOT4ax512N4rNZGPk98ASKbXjWuLQzn0RRU+t4eUxSuXRnj7K+iDcSq01BoMBNre2AQCvX72GV19/\nA4PB0G8HIXMIRQshe0Wev1JaLwVXhbbbaCGHoiEl50M+vpn8a9uI6kLrJfcYOeb19XM1ykWF9yGQ\nHs9U9QaOYZxxjyTRWHxu4OHyTZuN0+/38cJLr+DGrdsYDmMAwPrGBoZxjM997nPNxiVkjqBoIWSv\ncEYyJM+FKi+QrgiSOJ5nbvt9MYZHyHgxQ1zWeK5dap1G5KesixGvzTemMK9Lx2jr5tmbu0lirKQx\nfdduTa41Eq0RxzGUUrhx8za+8NyX0adHhZDGULQQstfYOSElPOeU1M5aIF1awLXg68yeolJIWoQt\nm8WBjfPe8ItokOO4J9w07hOeK8InF0RNPSZ2mMlji7LtVrh+8xZu3bqN67duY2NzE8M4xu07683t\nJ4QAoGghZB9whUUwxkIsug3cY1cET3awFKJScn8rHHL+yadG75/48KhRKSnVJ34qBmXntbDgO5r7\nQl3avLbSQYeYapRJLByz81qMdtbt/Otnn8N2fwCtNbTWUEoVr8Vo2bWoScKAhMwJFC2E7BnS4ujy\nrEjhjZ3sA2JWIjlCK6VwhzyXKVjszyMBY1TvFN6gbF4z/8UWHGKYrAbxCc4NkodzGuTdujt5wl/W\noa3t/uhUZrMtTszPzGchRIaihZA9Q0rOUNa6ZyyIFU9Dg/CMM79FEEaV9dbt2mhFEX7hl5/0XRzO\nP/kU3vWud0EphR967/fKXg0pGjNWqMeR+GucLntdrDCafc0uIegTM6Vy5wahLELI1KBoIWTPsZSD\nK6+i0cKXeTQkrWGKF2m8kmfFGAuqvJhrYHVluYkx+PznP4/HH38cf/gnn6ycc4VFbH7ovd9rdRRs\nd+EKIzlziIQQFiCLGdsJ5RQ1DW0lhIwNd8QlZF9xhS208d581caBfAjfCjrG/IXnoLxgq0AhCJr/\nU5GHNuyH/ZlhkUYPAhSbeLws/o7NTudCzm4jCUNpHK2tkw2us+iq+YBEQmqgaCFkzzAFh7aOW00q\nFUH5otlAoNi6pqmmyZNkrXLdQI0nWoBUuNjeFHNBlhJQ7ffOJNzyqCjfv7KHSMQXWsrvfSW/RhhT\nHMcSfbrayCVMlFJQSjGfhRAPFC2E7BmmejAWQa3kJibC4jc6Z3tesp/G3gwzfmQLqFSwTFLRYi++\nrjHM40opMbTkFHn2DSs95NESM/b9cN23ytSG0HTeBm2cFwSnOY3jPnzuc5+jYCGkBooWQvYa25tQ\nSsJ1YOmJ8rrtWEkrZcCiMRBXYiNvIxgzPGTiChU5rdGW0BATclyeFD06rS2B4fOeSCE3sZ3Pg2P+\nIu0GTHIhZFpQtBCyV5jhB3ERt0t7zE4Q1m17gc8Pme+N9tLaXPJMGJMUBTepYAl2sHeIFCqyqe5R\nkico28mw1v3IPSjasL0Ir0n30xijOGQJjko+i/XZvpTKr9L1+62S57HQw0JIMyhaCNkrlLbyRjwL\nmzYWYO1qaxwvbTufVxRZrhlleR+0sfij3DQ/nuazhFATelpy6kIfjcNPphgx809Kgk64V3YILk/o\nzQWPKWAqprhcXOZ4liJ0XI+UnMzN5AhpDkueCdkz7MXJrtwxPlQ2XKvJaXE9v6gYXBjDGVbK+mT5\nLDv1tJiYwuXxxx8XjwPZRnWOyFXFztEH4b10yM6BcdyfyjxFslD9nKbtxi64kkChl4WQ5tDTQggh\nhJCZgJ4WQvYap2fE+uB1AGRf5aXdYSvjOzwIGnA/GiAdN81pUWPsNtKcWg9DI+eOy1sl4LzU/H4L\nv5fKHK42PhPLHhZzcz16WQgZD3paCNkrzERc81ipjauyyG5rhX7MBFx7US0SVYXx7UXfaftuyJaG\nmPb7kHJzSsnIQoJygzyUkh3Kuu9yQ694omAhZHLoaSFkT5BKeQQvifSUYzOdwkZMwPV4BkoJwPVe\nCmlPtT1HSoy1xZ+znza8Uea9ys5Zw/pzaOzqJFen8uc//JNP0rtCyJSgaCFkr6iEbIwFz37iMUan\nasMkhTDR1sJqz+lRP64IUl4dvK/bywuioJQcm1GIPFOoWfejduz/v7072Y3kys4AfCJyIFmDpJYs\nt92AAT+E6s0a8La9s4H2qxgw/AZaCJBYe8OADdlWay6VisUhM5kxeJEDg8HIiWSReUvftymyMjIy\nGAUqfp177r07XM6q4NTxWVa6hftheAgexCKkdD3866upu+usCg6bdlNe/5dbqarq1u+9d8vbuKIv\naLH2TLOg1DXMtpxWXm83/FW3vlgEpLaOSo7AAvdDpQUeTKuqsvyrTd2j0fi/+g3Tczvf3zEdd4dT\nVHUV02mx5efdp1VjVs2X2z/MuqGj9pDc4vste1mWh7WH29Zfu8AC90dogQdQ13Vk6x52XbNSmg/f\n9gOzOfNn0YR7bYfmrqGg1kN7Uw/H/Lonk8uYPEpoWTW00xxKWzF01DnLpzUkt9OCdi1r793i3+UW\nM42AtQwPwQP4x3/+lyjKIopy/vBvjyp0zUpZ2xTaOOBa70rrwdx+U9dsmq7rqeuoqioml5fx5vQs\nfvn1zZqLeQfafcs3dAS8a+9p9bo037dte07d+rP5wroCy66hCNiaSgs8kMWD/+mTJ3F0eBC9PI8b\n+xDd5kF3I6OsmRV0bYSpq0l39mdZlnE+GkdZVfH27DyKstz9uu7iRjWo+YOsuEerbt2N4aD5111r\n3CyOW1S5FtWSa6NQ2ZpcuEX5Crg1oQUeyP/85buIiHj+9El8+snH8cHzZzEcDCLqurHMSn31XM2y\nzY+/9r47Tdeen81hkY6mlsXQUj3rYTk5PYtfT95GUZZxfjGKaflIjbhdfSRrj1vhRghZc9+aQ2g3\nhudan9cZGBvDdvIL3CuhBR7I63ml5ez8PE5Oz+Jv//rT+KuPP4qqqqKqZkEiz/Po5XnkvfmfeR51\nXUdV1VHXV8FhsY/NYm+grBlwls/NZl9Fu9wSywpPXddR1XXUdUSeRfx68ja+/+nnOD27iDrqGF9O\n4/PPP3+Xt2aCHPX1AAALbElEQVSDdp/OFoc2v7lWpGmGkEWTc1cwab13zYjbymtQdYF7J7TAA6nm\nIWE8uYzLaRHjySSKsoyiKKIsy6jmzbp5L49Bvx/DwSAOhoO4nBZRFEUUZblcLyWLiCyfHXcwHMbR\n0UEMB4MoyzKmxeK4Onp5L/r9fgwG/Rj0+7MFzubnmFxO43w0itF4HGVZRhZZDAaD+PHVL/HryUlc\nTov92IW4zloBYEUY2DZYLI9bUUVZHlffPGZTc+2Nxf1WHwrsLtuwaJRfObhnL168WD43Dw8OIs+y\nqKO+tr5cnuXR6/Xi4GAQ0+kssJRlFc1fybqO6PV6Mej34mA4jH6/F+PJZUyn02XlJsuzGA76cTA8\niA+ePY2PPnweb0/PIyLi9clJXIzGURRlRNSRZ3kMh4M4O7+IaTGdVV7y2XV88cUXD3qPIiL+9A9/\nbFQ5GgFiWf3YoReoK9DsXAhZ0x18bcTt6sR/+qc/7/IBwJXO306VFngEi9/G8WQSWZZ1rjib51lc\njPL50E29clXaRTUki4iyYxG4bF5V+OXNmzj4cRij8TgiIoqiaE24yWZVl+Y5GsvPP7xF42wrXTTH\nwba9tFUVmHXBpatfpTlc1FyBeFUjNHCvhBZ4ZKvCSFlWUWWbi53rAk1EzKsudYzHk5hMJrHqoVrX\ndZSt8zxqqXXt+ii3WAOlXbGJWJ8v1g01Za0DbvQ262eBd8E6LfDIugJHc4O9ZiipW1WXbfYEWlZi\nOhdj219XWwdc9eFcVTk2DQe1F1mpbwaNG+9Ze8L1n9e8tdtcH3ArQgsAkAShBR7YNnvRNPtcmj0l\n16smsbIfpqk9fNRVqVl3jsfqafnmu+/nXy2GghrVlk1ubCK5xZvWHtKo9kRsNW72uDtjw/tJaIFH\n1hUK6lYD7LrgsClUtF9vh55tzvEY/uO/vp49+JcjPNte4zsKC6uCU/vjstm/3/nFxbu5DvgN04gL\ne2iXENEOOHc9374oyzJ+PXkbw8Fgvm5NP7LItmjAvcPPurF/tmOqc8fx5xcX8fU3397+OoBO1mmB\nR/LixYuVr20TRO6q3ezbNSSVZVl89dVX7/Q6Vnnx4kU8OTqMD58/j6dPjuKT330UHz5/FoN+f0Vw\nueuMnY7tDdYe3tHcW9cxmU7jP//76/jXf/v3O1wL/OZZpwVS0BUmmq8t3DXUdL2/3SPz2BWa84tR\njMeT6PV68eqX1/GHv/l9/P7TT+Lo8LC1NMp8+s5iWvOqvYVWLAJ386DWIi5dhy63SYioq6veoP/9\ny3fxw0+vbvPjAhsILfBIjo+P47PPPuvsOen6uuv7+7LqM7/88st38nm7qOo6qqKIN6dns60HLkbx\n93/3hzgYDiPPZ215zQX2Zn/RkTJWbSDZXIr4mvXrudR1PVtLp6qiKIqIiLgYj+P/vv0+pvPvgfsl\ntMAjevny5WxZ/w3DQV2vd80u2mTV5zzEcNRttK9pNJnEtz/8GEVZxMcffRRPjg4jIpZ9L/1+P3q9\nPPKu3a9XrVp7ba+gxqJ1i72H2uepY7aR5HgSF+NxjCeTGI0nERHx06vXMbm8vO2PC2wgtMAeuG0j\n7aq/XxVydj3PPirKMn746VWcnJ7Fk8NZaDk6Ooyjw8N49uQojg4PYzichZhlJWbx5saGkVcvrAgw\ni5fmQaY5Pfz8YhQ///I6zs4v4nw0WlZa3p7N9nXaZlo7sDuNuLAH1jXlbrJNleQ2lZR9ePBuui/5\n/Gfq9/sxHA7i6OAgnj55Es+fPY3nT5/G4eFB9HuNlR2yLPL5UNJso8p2AWYWahY7cldVNV/XZvb1\nbD+ocXzz3Q/x5vQ0JpPL2VDQ4vj5GjgvX768x7sAv0kacWFf3WXYZpswklIlZReLcHE5nca0KGI0\nGsfbs/N48/ZtPH/2ND784HkM+7P/zOW9XuRZtty5uj/fIbvX681ez/Oo5/0pRVnF5fQyptMiyqqK\noihnK/VnWfz8+nX89Op1lGU5//yr6LOvw2zwvhBaYA+8fPnyWlPu4uG37QPwtg/LVX0x+1Bladq2\nmlTWdZSXlzEtZg27p2fn0Z8PE11VZXoxGAxiOBjEwWAQw4NBREQcDg+iKMtZr8poFON5FWU6LSJi\nVn3J8yzenJxGUZaNT95uEUDg7oQW2BOLptyI3R9+t31Y7vtDthnedmlGrqo6qqqIt2fn876WWTVk\nNjQUkWd59Hp5DIfDODwYRkTE4cFhTKaXMRqNYzotYloUy16VOiLqqoq8l7cCC/CQ9LTAnmn2cbzr\n4Yau8+9TlaXd03Jfs58W06OzPIssm/W8DPv9KMoyyqpa9rJcnX+LhXjn9un+QcI6f+PsPQR7ZvHQ\ne+j+iH3c4K8dAO4y+6m9aWQ1X2elmFdURpNJXE6nUSx7VeYVlrreOrAA75ZKC+ypu8wouo19rRA8\n2H2Yr7+ybQDqOm5f7yEkSKUFUnJ8fHyv1Y9159r3h209n0rcXCvlNudYK9u+x2ffe4HgfSW0AABJ\nMDwECdi01P9t+1/2vcKy0LVH0666Np+87Tnb703lPkJCDA9Bqo6Pj2+sstocLtlW8/iUHrTt3acj\nbjbWrrMIGfe1g7XhIXgcKi2QqFUNqvs+jfk2tqm07FI52aVq1fV9xFVwSf3ewp7q/AUVWoAkLELa\nXcNJM3Tcx7RyoQXeCcNDwPth22GxrkDS3B5hXbWl6/v2kJzAAg9LaAGSsAgIq/Zkus/p4e3zbwo5\nwMMQWoBktCsbzcrHNj0v29jU4KyXBR6PnhYgOZumgC/cpmdl03uEFXgQelqA98Px8fHGIaJdV8/d\nZgq1wAKPS6UFSNY2+xKZIQRJMuUZeD81p0NH3OxvucswkcACj0JoAd5v97kjtLACj0poAX47dmnW\njTArCPaM0AL89jS3AGiGGOEE9prQAgAkwZRnACBdQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoA\ngCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkASh\nBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJ\nEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsA\nkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0\nAABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJ\nQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEA\nkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQW\nACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRB\naAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBA\nEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtAC\nACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQI\nLQBAEoQWACAJQgsAkAShBQBIgtACACRBaAEAkiC0AABJEFoAgCQILQBAEoQWACAJ/Q2vZw9yFQAA\nG6i0AABJEFoAgCQILQBAEoQWACAJQgsAkAShBQBIwv8DPWGlOpv1o9QAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 720x720 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140208690538832"
      },
      "output_type": "display_data"
     }
@@ -485,8 +454,8 @@
    "source": [
     "plt.figure(figsize=(10, 10))\n",
     "plt.imshow(images[0, ..., :3].cpu().numpy())\n",
-    "plt.grid(\"off\")\n",
-    "plt.axis(\"off\")"
+    "plt.grid(\"off\");\n",
+    "plt.axis(\"off\");"
    ]
   },
   {
@@ -507,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": 55,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -516,12 +485,12 @@
    },
    "outputs": [],
    "source": [
-    "# Rotate the object by increasing the azimuth angle\n",
-    "R, T = look_at_view_transform(dist=2.7, elev=10, azim=50)\n",
+    "# Rotate the object by increasing the elevation and azimuth angles\n",
+    "R, T = look_at_view_transform(dist=2.7, elev=10, azim=-150)\n",
     "cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)\n",
     "\n",
-    "# Move the light location to be in front of the object again\n",
-    "lights.location = torch.tensor([[5.0, 5.0, -2.0]], device=device)\n",
+    "# Move the light location so the light is shining on the cow's face.  \n",
+    "lights.location = torch.tensor([[2.0, 2.0, -2.0]], device=device)\n",
     "\n",
     "# Change specular color to green and change material shininess \n",
     "materials = Materials(\n",
@@ -536,7 +505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 83,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -549,25 +518,13 @@
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "(-0.5, 511.5, 511.5, -0.5)"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {
-      "tags": []
-     },
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nihZCCCGEtAKKFkIIIYS0gv8fMtsHdK1wIjwAAAAASUVORK5CYII=\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi0AAAIuCAYAAABzfTjcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
        "<Figure size 720x720 with 1 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140208689652560"
      },
      "output_type": "display_data"
     }
@@ -575,8 +532,8 @@
    "source": [
     "plt.figure(figsize=(10, 10))\n",
     "plt.imshow(images[0, ..., :3].cpu().numpy())\n",
-    "plt.grid(\"off\")\n",
-    "plt.axis(\"off\")"
+    "plt.grid(\"off\");\n",
+    "plt.axis(\"off\");"
    ]
   },
   {
@@ -594,7 +551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": 79,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -612,8 +569,8 @@
     "meshes = mesh.extend(batch_size)\n",
     "\n",
     "# Get a batch of viewing angles. \n",
-    "elev = torch.linspace(0, 360, batch_size)\n",
-    "azim = torch.linspace(0, 360, batch_size)\n",
+    "elev = torch.linspace(0, 180, batch_size)\n",
+    "azim = torch.linspace(-180, 180, batch_size)\n",
     "\n",
     "# All the cameras helper methods support mixed type inputs and broadcasting. So we can \n",
     "# view the camera from the same distance and specify dist=2.7 as a float,\n",
@@ -621,13 +578,13 @@
     "R, T = look_at_view_transform(dist=2.7, elev=elev, azim=azim)\n",
     "cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)\n",
     "\n",
-    "# Move the light back in front of the object\n",
-    "lights.location = torch.tensor([[1.0, 1.0, -5.0]], device=device)"
+    "# Move the light back in front of the cow which is facing the -z direction.\n",
+    "lights.location = torch.tensor([[0.0, 0.0, -3.0]], device=device)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": 80,
    "metadata": {
     "colab": {},
     "colab_type": "code",
@@ -643,26 +600,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 679
-    },
-    "colab_type": "code",
-    "id": "Vh2LiezEfBMO",
-    "outputId": "c9ce0577-d22e-434a-8726-320b3806aa05"
-   },
+   "execution_count": 81,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBAAAAKWCAYAAADwXGoPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJEAAAAAAQgIEAAAAICRAAAAAAEJ/AYcyl2RbSm3cAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABBAAAAKWCAYAAADwXGoPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npaZ7s1oAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 1080x648 with 20 Axes>"
       ]
      },
      "metadata": {
-      "tags": []
+      "bento_obj_id": "140208843770448"
      },
      "output_type": "display_data"
     }
diff --git a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.cu b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.cu
index 43035507..ba130d9d 100644
--- a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.cu
+++ b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.cu
@@ -189,12 +189,12 @@ __global__ void RasterizeMeshesNaiveCudaKernel(
     const float* face_verts,
     const int64_t* mesh_to_face_first_idx,
     const int64_t* num_faces_per_mesh,
-    float blur_radius,
-    bool perspective_correct,
-    int N,
-    int H,
-    int W,
-    int K,
+    const float blur_radius,
+    const bool perspective_correct,
+    const int N,
+    const int H,
+    const int W,
+    const int K,
     int64_t* face_idxs,
     float* zbuf,
     float* pix_dists,
@@ -207,8 +207,10 @@ __global__ void RasterizeMeshesNaiveCudaKernel(
     // Convert linear index to 3D index
     const int n = i / (H * W); // batch index.
     const int pix_idx = i % (H * W);
-    const int yi = pix_idx / H;
-    const int xi = pix_idx % W;
+
+    // Determine ordering based on axis convention.
+    const int yi = H - 1 - pix_idx / W;
+    const int xi = W - 1 - pix_idx % W;
 
     // screen coordinates to ndc coordiantes of pixel.
     const float xf = PixToNdc(xi, W);
@@ -254,7 +256,7 @@ __global__ void RasterizeMeshesNaiveCudaKernel(
 
     // TODO: make sorting an option as only top k is needed, not sorted values.
     BubbleSort(q, q_size);
-    int idx = n * H * W * K + yi * H * K + xi * K;
+    int idx = n * H * W * K + pix_idx * K;
     for (int k = 0; k < q_size; ++k) {
       face_idxs[idx + k] = q[k].idx;
       zbuf[idx + k] = q[k].z;
@@ -274,7 +276,7 @@ RasterizeMeshesNaiveCuda(
     const int image_size,
     const float blur_radius,
     const int num_closest,
-    bool perspective_correct) {
+    const bool perspective_correct) {
   if (face_verts.ndimension() != 3 || face_verts.size(1) != 3 ||
       face_verts.size(2) != 3) {
     AT_ERROR("face_verts must have dimensions (num_faces, 3, 3)");
@@ -331,12 +333,12 @@ RasterizeMeshesNaiveCuda(
 __global__ void RasterizeMeshesBackwardCudaKernel(
     const float* face_verts, // (F, 3, 3)
     const int64_t* pix_to_face, // (N, H, W, K)
-    bool perspective_correct,
-    int N,
-    int F,
-    int H,
-    int W,
-    int K,
+    const bool perspective_correct,
+    const int N,
+    const int F,
+    const int H,
+    const int W,
+    const int K,
     const float* grad_zbuf, // (N, H, W, K)
     const float* grad_bary, // (N, H, W, K, 3)
     const float* grad_dists, // (N, H, W, K)
@@ -351,8 +353,11 @@ __global__ void RasterizeMeshesBackwardCudaKernel(
     // Convert linear index to 3D index
     const int n = t_i / (H * W); // batch index.
     const int pix_idx = t_i % (H * W);
-    const int yi = pix_idx / H;
-    const int xi = pix_idx % W;
+
+    // Determine ordering based on axis convention.
+    const int yi = H - 1 - pix_idx / W;
+    const int xi = W - 1 - pix_idx % W;
+
     const float xf = PixToNdc(xi, W);
     const float yf = PixToNdc(yi, H);
     const float2 pxy = make_float2(xf, yf);
@@ -360,8 +365,8 @@ __global__ void RasterizeMeshesBackwardCudaKernel(
     // Loop over all the faces for this pixel.
     for (int k = 0; k < K; k++) {
       // Index into (N, H, W, K, :) grad tensors
-      const int i =
-          n * H * W * K + yi * H * K + xi * K + k; // pixel index + face index
+      // pixel index + top k index
+      int i = n * H * W * K + pix_idx * K + k;
 
       const int f = pix_to_face[i];
       if (f < 0) {
@@ -451,7 +456,7 @@ torch::Tensor RasterizeMeshesBackwardCuda(
     const torch::Tensor& grad_zbuf, // (N, H, W, K)
     const torch::Tensor& grad_bary, // (N, H, W, K, 3)
     const torch::Tensor& grad_dists, // (N, H, W, K)
-    bool perspective_correct) {
+    const bool perspective_correct) {
   const int F = face_verts.size(0);
   const int N = pix_to_face.size(0);
   const int H = pix_to_face.size(1);
@@ -509,6 +514,7 @@ __global__ void RasterizeMeshesCoarseCudaKernel(
   // Have each block handle a chunk of faces
   const int chunks_per_batch = 1 + (F - 1) / chunk_size;
   const int num_chunks = N * chunks_per_batch;
+
   for (int chunk = blockIdx.x; chunk < num_chunks; chunk += gridDim.x) {
     const int batch_idx = chunk / chunks_per_batch; // batch index
     const int chunk_idx = chunk % chunks_per_batch;
@@ -551,17 +557,21 @@ __global__ void RasterizeMeshesCoarseCudaKernel(
         // Y coordinate of the top and bottom of the bin.
         // PixToNdc gives the location of the center of each pixel, so we
         // need to add/subtract a half pixel to get the true extent of the bin.
-        const float bin_y_min = PixToNdc(by * bin_size, H) - half_pix;
-        const float bin_y_max = PixToNdc((by + 1) * bin_size - 1, H) + half_pix;
+        // Reverse ordering of Y axis so that +Y is upwards in the image.
+        const int yidx = num_bins - by;
+        float bin_y_max = PixToNdc(yidx * bin_size - 1, H) + half_pix;
+        float bin_y_min = PixToNdc((yidx - 1) * bin_size, H) - half_pix;
+
         const bool y_overlap = (ymin <= bin_y_max) && (bin_y_min < ymax);
 
         for (int bx = 0; bx < num_bins; ++bx) {
           // X coordinate of the left and right of the bin.
-          const float bin_x_min = PixToNdc(bx * bin_size, W) - half_pix;
-          const float bin_x_max =
-              PixToNdc((bx + 1) * bin_size - 1, W) + half_pix;
-          const bool x_overlap = (xmin <= bin_x_max) && (bin_x_min < xmax);
+          // Reverse ordering of x axis so that +X is left.
+          const int xidx = num_bins - bx;
+          float bin_x_max = PixToNdc(xidx * bin_size - 1, W) + half_pix;
+          float bin_x_min = PixToNdc((xidx - 1) * bin_size, W) - half_pix;
 
+          const bool x_overlap = (xmin <= bin_x_max) && (bin_x_min < xmax);
           if (y_overlap && x_overlap) {
             binmask.set(by, bx, f);
           }
@@ -654,7 +664,6 @@ torch::Tensor RasterizeMeshesCoarseCuda(
 // ****************************************************************************
 // *                            FINE RASTERIZATION                            *
 // ****************************************************************************
-
 __global__ void RasterizeMeshesFineCudaKernel(
     const float* face_verts, // (F, 3, 3)
     const int32_t* bin_faces, // (N, B, B, T)
@@ -695,8 +704,14 @@ __global__ void RasterizeMeshesFineCudaKernel(
 
     if (yi >= H || xi >= W)
       continue;
-    const float xf = PixToNdc(xi, W);
-    const float yf = PixToNdc(yi, H);
+
+    // Reverse ordering of the X and Y axis so that
+    // in the image +Y is pointing up and +X is pointing left.
+    const int yidx = H - 1 - yi;
+    const int xidx = W - 1 - xi;
+
+    const float xf = PixToNdc(xidx, W);
+    const float yf = PixToNdc(yidx, H);
     const float2 pxy = make_float2(xf, yf);
 
     // This part looks like the naive rasterization kernel, except we use
@@ -751,7 +766,7 @@ RasterizeMeshesFineCuda(
     const float blur_radius,
     const int bin_size,
     const int faces_per_pixel,
-    bool perspective_correct) {
+    const bool perspective_correct) {
   if (face_verts.ndimension() != 3 || face_verts.size(1) != 3 ||
       face_verts.size(2) != 3) {
     AT_ERROR("face_verts must have dimensions (num_faces, 3, 3)");
diff --git a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.h b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.h
index 24cf89b3..34173019 100644
--- a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.h
+++ b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes.h
@@ -14,10 +14,10 @@ RasterizeMeshesNaiveCpu(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int faces_per_pixel,
-    bool perspective_correct);
+    const int image_size,
+    const float blur_radius,
+    const int faces_per_pixel,
+    const bool perspective_correct);
 
 #ifdef WITH_CUDA
 std::tuple<at::Tensor, at::Tensor, at::Tensor, at::Tensor>
@@ -25,10 +25,10 @@ RasterizeMeshesNaiveCuda(
     const at::Tensor& face_verts,
     const at::Tensor& mesh_to_face_first_idx,
     const at::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int num_closest,
-    bool perspective_correct);
+    const int image_size,
+    const float blur_radius,
+    const int num_closest,
+    const bool perspective_correct);
 #endif
 // Forward pass for rasterizing a batch of meshes.
 //
@@ -77,10 +77,10 @@ RasterizeMeshesNaive(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int faces_per_pixel,
-    bool perspective_correct) {
+    const int image_size,
+    const float blur_radius,
+    const int faces_per_pixel,
+    const bool perspective_correct) {
   // TODO: Better type checking.
   if (face_verts.type().is_cuda()) {
 #ifdef WITH_CUDA
@@ -117,7 +117,7 @@ torch::Tensor RasterizeMeshesBackwardCpu(
     const torch::Tensor& grad_bary,
     const torch::Tensor& grad_zbuf,
     const torch::Tensor& grad_dists,
-    bool perspective_correct);
+    const bool perspective_correct);
 
 #ifdef WITH_CUDA
 torch::Tensor RasterizeMeshesBackwardCuda(
@@ -126,7 +126,7 @@ torch::Tensor RasterizeMeshesBackwardCuda(
     const torch::Tensor& grad_bary,
     const torch::Tensor& grad_zbuf,
     const torch::Tensor& grad_dists,
-    bool perspective_correct);
+    const bool perspective_correct);
 #endif
 
 // Args:
@@ -159,7 +159,7 @@ torch::Tensor RasterizeMeshesBackward(
     const torch::Tensor& grad_zbuf,
     const torch::Tensor& grad_bary,
     const torch::Tensor& grad_dists,
-    bool perspective_correct) {
+    const bool perspective_correct) {
   if (face_verts.type().is_cuda()) {
 #ifdef WITH_CUDA
     return RasterizeMeshesBackwardCuda(
@@ -191,20 +191,20 @@ torch::Tensor RasterizeMeshesCoarseCpu(
     const torch::Tensor& face_verts,
     const at::Tensor& mesh_to_face_first_idx,
     const at::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int max_faces_per_bin);
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int max_faces_per_bin);
 
 #ifdef WITH_CUDA
 torch::Tensor RasterizeMeshesCoarseCuda(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int max_faces_per_bin);
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int max_faces_per_bin);
 #endif
 // Args:
 //    face_verts: Tensor of shape (F, 3, 3) giving (packed) vertex positions for
@@ -232,10 +232,10 @@ torch::Tensor RasterizeMeshesCoarse(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int max_faces_per_bin) {
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int max_faces_per_bin) {
   if (face_verts.type().is_cuda()) {
 #ifdef WITH_CUDA
     return RasterizeMeshesCoarseCuda(
@@ -270,11 +270,11 @@ std::tuple<torch::Tensor, torch::Tensor, torch::Tensor, torch::Tensor>
 RasterizeMeshesFineCuda(
     const torch::Tensor& face_verts,
     const torch::Tensor& bin_faces,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int faces_per_pixel,
-    bool perspective_correct);
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int faces_per_pixel,
+    const bool perspective_correct);
 #endif
 // Args:
 //    face_verts: Tensor of shape (F, 3, 3) giving (packed) vertex positions for
@@ -317,11 +317,11 @@ std::tuple<torch::Tensor, torch::Tensor, torch::Tensor, torch::Tensor>
 RasterizeMeshesFine(
     const torch::Tensor& face_verts,
     const torch::Tensor& bin_faces,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int faces_per_pixel,
-    bool perspective_correct) {
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int faces_per_pixel,
+    const bool perspective_correct) {
   if (face_verts.type().is_cuda()) {
 #ifdef WITH_CUDA
     return RasterizeMeshesFineCuda(
@@ -373,6 +373,7 @@ RasterizeMeshesFine(
 //                         this function instead returns screen-space
 //                         barycentric coordinates for each pixel.
 //
+//
 // Returns:
 //    A 4 element tuple of:
 //    pix_to_face: int64 tensor of shape (N, H, W, K) giving the face index of
@@ -394,12 +395,12 @@ RasterizeMeshes(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int faces_per_pixel,
-    int bin_size,
-    int max_faces_per_bin,
-    bool perspective_correct) {
+    const int image_size,
+    const float blur_radius,
+    const int faces_per_pixel,
+    const int bin_size,
+    const int max_faces_per_bin,
+    const bool perspective_correct) {
   if (bin_size > 0 && max_faces_per_bin > 0) {
     // Use coarse-to-fine rasterization
     auto bin_faces = RasterizeMeshesCoarse(
diff --git a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes_cpu.cpp b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes_cpu.cpp
index 813758bb..8b118275 100644
--- a/pytorch3d/csrc/rasterize_meshes/rasterize_meshes_cpu.cpp
+++ b/pytorch3d/csrc/rasterize_meshes/rasterize_meshes_cpu.cpp
@@ -105,9 +105,9 @@ RasterizeMeshesNaiveCpu(
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
     int image_size,
-    float blur_radius,
-    int faces_per_pixel,
-    bool perspective_correct) {
+    const float blur_radius,
+    const int faces_per_pixel,
+    const bool perspective_correct) {
   if (face_verts.ndimension() != 3 || face_verts.size(1) != 3 ||
       face_verts.size(2) != 3) {
     AT_ERROR("face_verts must have dimensions (num_faces, 3, 3)");
@@ -153,12 +153,19 @@ RasterizeMeshesNaiveCpu(
 
     // Iterate through the horizontal lines of the image from top to bottom.
     for (int yi = 0; yi < H; ++yi) {
+      // Reverse the order of yi so that +Y is pointing upwards in the image.
+      const int yidx = H - 1 - yi;
+
       // Y coordinate of the top of the pixel.
-      const float yf = PixToNdc(yi, H);
+      const float yf = PixToNdc(yidx, H);
       // Iterate through pixels on this horizontal line, left to right.
       for (int xi = 0; xi < W; ++xi) {
+        // Reverse the order of xi so that +X is pointing to the left in the
+        // image.
+        const int xidx = W - 1 - xi;
+
         // X coordinate of the left of the pixel.
-        const float xf = PixToNdc(xi, W);
+        const float xf = PixToNdc(xidx, W);
         // Use a priority queue to hold values:
         // (z, idx, r, bary.x, bary.y. bary.z)
         std::priority_queue<std::tuple<float, int, float, float, float, float>>
@@ -250,7 +257,7 @@ torch::Tensor RasterizeMeshesBackwardCpu(
     const torch::Tensor& grad_zbuf, // (N, H, W, K)
     const torch::Tensor& grad_bary, // (N, H, W, K, 3)
     const torch::Tensor& grad_dists, // (N, H, W, K)
-    bool perspective_correct) {
+    const bool perspective_correct) {
   const int F = face_verts.size(0);
   const int N = pix_to_face.size(0);
   const int H = pix_to_face.size(1);
@@ -267,12 +274,19 @@ torch::Tensor RasterizeMeshesBackwardCpu(
   for (int n = 0; n < N; ++n) {
     // Iterate through the horizontal lines of the image from top to bottom.
     for (int y = 0; y < H; ++y) {
+      // Reverse the order of yi so that +Y is pointing upwards in the image.
+      const int yidx = H - 1 - y;
+
       // Y coordinate of the top of the pixel.
-      const float yf = PixToNdc(y, H);
+      const float yf = PixToNdc(yidx, H);
       // Iterate through pixels on this horizontal line, left to right.
       for (int x = 0; x < W; ++x) {
+        // Reverse the order of xi so that +X is pointing to the left in the
+        // image.
+        const int xidx = W - 1 - x;
+
         // X coordinate of the left of the pixel.
-        const float xf = PixToNdc(x, W);
+        const float xf = PixToNdc(xidx, W);
         const vec2<float> pxy(xf, yf);
 
         // Iterate through the faces that hit this pixel.
@@ -376,10 +390,10 @@ torch::Tensor RasterizeMeshesCoarseCpu(
     const torch::Tensor& face_verts,
     const torch::Tensor& mesh_to_face_first_idx,
     const torch::Tensor& num_faces_per_mesh,
-    int image_size,
-    float blur_radius,
-    int bin_size,
-    int max_faces_per_bin) {
+    const int image_size,
+    const float blur_radius,
+    const int bin_size,
+    const int max_faces_per_bin) {
   if (face_verts.ndimension() != 3 || face_verts.size(1) != 3 ||
       face_verts.size(2) != 3) {
     AT_ERROR("face_verts must have dimensions (num_faces, 3, 3)");
@@ -387,6 +401,7 @@ torch::Tensor RasterizeMeshesCoarseCpu(
   if (num_faces_per_mesh.ndimension() != 1) {
     AT_ERROR("num_faces_per_mesh can only have one dimension");
   }
+
   const int N = num_faces_per_mesh.size(0); // batch size.
   const int M = max_faces_per_bin;
 
@@ -415,13 +430,13 @@ torch::Tensor RasterizeMeshesCoarseCpu(
     const int face_stop_idx =
         (face_start_idx + num_faces_per_mesh[n].item().to<int32_t>());
 
-    float bin_y_min = -1.0f;
-    float bin_y_max = bin_y_min + bin_width;
+    float bin_y_max = 1.0f;
+    float bin_y_min = bin_y_max - bin_width;
 
     // Iterate through the horizontal bins from top to bottom.
     for (int by = 0; by < BH; ++by) {
-      float bin_x_min = -1.0f;
-      float bin_x_max = bin_x_min + bin_width;
+      float bin_x_max = 1.0f;
+      float bin_x_min = bin_x_max - bin_width;
 
       // Iterate through bins on this horizontal line, left to right.
       for (int bx = 0; bx < BW; ++bx) {
@@ -458,13 +473,13 @@ torch::Tensor RasterizeMeshesCoarseCpu(
           }
         }
 
-        // Shift the bin to the right for the next loop iteration.
-        bin_x_min = bin_x_max;
-        bin_x_max = bin_x_min + bin_width;
+        // Shift the bin down for the next loop iteration.
+        bin_x_max = bin_x_min;
+        bin_x_min = bin_x_min - bin_width;
       }
-      // Shift the bin down for the next loop iteration.
-      bin_y_min = bin_y_max;
-      bin_y_max = bin_y_min + bin_width;
+      // Shift the bin left for the next loop iteration.
+      bin_y_max = bin_y_min;
+      bin_y_min = bin_y_min - bin_width;
     }
   }
   return bin_faces;
diff --git a/pytorch3d/renderer/blending.py b/pytorch3d/renderer/blending.py
index 4676aa50..a750ce6c 100644
--- a/pytorch3d/renderer/blending.py
+++ b/pytorch3d/renderer/blending.py
@@ -38,7 +38,7 @@ def hard_rgb_blend(colors, fragments) -> torch.Tensor:
     device = fragments.pix_to_face.device
     pixel_colors = torch.ones((N, H, W, 4), dtype=colors.dtype, device=device)
     pixel_colors[..., :3] = colors[..., 0, :]
-    return torch.flip(pixel_colors, [1])
+    return pixel_colors
 
 
 def sigmoid_alpha_blend(colors, fragments, blend_params) -> torch.Tensor:
@@ -80,7 +80,7 @@ def sigmoid_alpha_blend(colors, fragments, blend_params) -> torch.Tensor:
     alpha = torch.prod((1.0 - prob), dim=-1)
     pixel_colors[..., :3] = colors[..., 0, :]  # Hard assign for RGB
     pixel_colors[..., 3] = 1.0 - alpha
-    return torch.flip(pixel_colors, [1])
+    return pixel_colors
 
 
 def softmax_rgb_blend(
@@ -125,7 +125,7 @@ def softmax_rgb_blend(
 
     N, H, W, K = fragments.pix_to_face.shape
     device = fragments.pix_to_face.device
-    pix_colors = torch.ones(
+    pixel_colors = torch.ones(
         (N, H, W, 4), dtype=colors.dtype, device=colors.device
     )
     background = blend_params.background_color
@@ -166,7 +166,7 @@ def softmax_rgb_blend(
     # Sum: weights * textures + background color
     weighted_colors = (weights[..., None] * colors).sum(dim=-2)
     weighted_background = (delta / denom) * background
-    pix_colors[..., :3] = weighted_colors + weighted_background
-    pix_colors[..., 3] = 1.0 - alpha
+    pixel_colors[..., :3] = weighted_colors + weighted_background
+    pixel_colors[..., 3] = 1.0 - alpha
 
-    return torch.flip(pix_colors, [1])
+    return pixel_colors
diff --git a/pytorch3d/renderer/cameras.py b/pytorch3d/renderer/cameras.py
index c856ffeb..4f5f1615 100644
--- a/pytorch3d/renderer/cameras.py
+++ b/pytorch3d/renderer/cameras.py
@@ -944,7 +944,7 @@ def camera_position_from_spherical_angles(
         azim = math.pi / 180.0 * azim
     x = dist * torch.cos(elev) * torch.sin(azim)
     y = dist * torch.sin(elev)
-    z = -dist * torch.cos(elev) * torch.cos(azim)
+    z = dist * torch.cos(elev) * torch.cos(azim)
     camera_position = torch.stack([x, y, z], dim=1)
     if camera_position.dim() == 0:
         camera_position = camera_position.view(1, -1)  # add batch dim.
diff --git a/pytorch3d/renderer/mesh/rasterize_meshes.py b/pytorch3d/renderer/mesh/rasterize_meshes.py
index aca2658f..8be09b3a 100644
--- a/pytorch3d/renderer/mesh/rasterize_meshes.py
+++ b/pytorch3d/renderer/mesh/rasterize_meshes.py
@@ -208,6 +208,11 @@ class _RasterizeFaceVerts(torch.autograd.Function):
         return grads
 
 
+def pix_to_ndc(i, S):
+    # NDC x-offset + (i * pixel_width + half_pixel_width)
+    return -1 + (2 * i + 1.0) / S
+
+
 def rasterize_meshes_python(
     meshes,
     image_size: int = 256,
@@ -249,10 +254,6 @@ def rasterize_meshes_python(
         (N, H, W, K), fill_value=-1, dtype=torch.float32, device=device
     )
 
-    # NDC is from [-1, 1]. Get pixel size using specified image size.
-    pixel_width = 2.0 / W
-    pixel_height = 2.0 / H
-
     # Calculate all face bounding boxes.
     x_mins = torch.min(faces_verts[:, :, 0], dim=1, keepdim=True).values
     x_maxs = torch.max(faces_verts[:, :, 0], dim=1, keepdim=True).values
@@ -269,14 +270,20 @@ def rasterize_meshes_python(
     for n in range(N):
         face_start_idx = mesh_to_face_first_idx[n]
         face_stop_idx = face_start_idx + num_faces_per_mesh[n]
-        # Y coordinate of the top of the image.
-        yf = -1.0 + 0.5 * pixel_height
+
         # Iterate through the horizontal lines of the image from top to bottom.
         for yi in range(H):
-            # X coordinate of the left of the image.
-            xf = -1.0 + 0.5 * pixel_width
+            # Y coordinate of one end of the image. Reverse the ordering
+            # of yi so that +Y is pointing up in the image.
+            yfix = H - 1 - yi
+            yf = pix_to_ndc(yfix, H)
+
             # Iterate through pixels on this horizontal line, left to right.
             for xi in range(W):
+                # X coordinate of one end of the image. Reverse the ordering
+                # of xi so that +X is pointing to the left in the image.
+                xfix = W - 1 - xi
+                xf = pix_to_ndc(xfix, H)
                 top_k_points = []
 
                 # Check whether each face in the mesh affects this pixel.
@@ -347,12 +354,6 @@ def rasterize_meshes_python(
                     bary_coords[n, yi, xi, k, 2] = bary[2]
                     pix_dists[n, yi, xi, k] = dist
 
-                # Move to the next horizontal pixel
-                xf += pixel_width
-
-            # Move to the next vertical pixel
-            yf += pixel_height
-
     return face_idxs, zbuf, bary_coords, pix_dists
 
 
diff --git a/pytorch3d/renderer/mesh/renderer.py b/pytorch3d/renderer/mesh/renderer.py
index 18da3d34..c68625aa 100644
--- a/pytorch3d/renderer/mesh/renderer.py
+++ b/pytorch3d/renderer/mesh/renderer.py
@@ -53,7 +53,7 @@ class MeshRenderer(nn.Module):
         if raster_settings.blur_radius > 0.0:
             # TODO: potentially move barycentric clipping to the rasterizer
             # if no downstream functions requires unclipped values.
-            # This will avoid unnecssary re-interpolation of the z buffer. 
+            # This will avoid unnecssary re-interpolation of the z buffer.
             clipped_bary_coords = _clip_barycentric_coordinates(
                 fragments.bary_coords
             )
@@ -67,4 +67,5 @@ class MeshRenderer(nn.Module):
                 pix_to_face=fragments.pix_to_face,
             )
         images = self.shader(fragments, meshes_world, **kwargs)
+
         return images
diff --git a/tests/data/test_blurry_textured_rendering.png b/tests/data/test_blurry_textured_rendering.png
index 5ab0e4b6..ab3e8d99 100644
Binary files a/tests/data/test_blurry_textured_rendering.png and b/tests/data/test_blurry_textured_rendering.png differ
diff --git a/tests/data/test_silhouette.png b/tests/data/test_silhouette.png
index 082107d5..efe34d92 100644
Binary files a/tests/data/test_silhouette.png and b/tests/data/test_silhouette.png differ
diff --git a/tests/data/test_simple_sphere_dark_elevated_camera.png b/tests/data/test_simple_sphere_dark_elevated_camera.png
index b915b8d9..7ad8d966 100644
Binary files a/tests/data/test_simple_sphere_dark_elevated_camera.png and b/tests/data/test_simple_sphere_dark_elevated_camera.png differ
diff --git a/tests/data/test_simple_sphere_illuminated_elevated_camera.png b/tests/data/test_simple_sphere_illuminated_elevated_camera.png
deleted file mode 100644
index b86b7965..00000000
Binary files a/tests/data/test_simple_sphere_illuminated_elevated_camera.png and /dev/null differ
diff --git a/tests/data/test_simple_sphere_illuminated.png b/tests/data/test_simple_sphere_light.png
similarity index 100%
rename from tests/data/test_simple_sphere_illuminated.png
rename to tests/data/test_simple_sphere_light.png
diff --git a/tests/data/test_simple_sphere_light_elevated_camera.png b/tests/data/test_simple_sphere_light_elevated_camera.png
new file mode 100644
index 00000000..b3fe6921
Binary files /dev/null and b/tests/data/test_simple_sphere_light_elevated_camera.png differ
diff --git a/tests/data/test_simple_sphere_light_flat_elevated_camera.png b/tests/data/test_simple_sphere_light_flat_elevated_camera.png
index e2a19c83..d0eb8fb6 100644
Binary files a/tests/data/test_simple_sphere_light_flat_elevated_camera.png and b/tests/data/test_simple_sphere_light_flat_elevated_camera.png differ
diff --git a/tests/data/test_simple_sphere_light_gouraud_elevated_camera.png b/tests/data/test_simple_sphere_light_gouraud_elevated_camera.png
index 58053312..a39ef8f2 100644
Binary files a/tests/data/test_simple_sphere_light_gouraud_elevated_camera.png and b/tests/data/test_simple_sphere_light_gouraud_elevated_camera.png differ
diff --git a/tests/data/test_texture_map.png b/tests/data/test_texture_map.png
deleted file mode 100644
index eccbb6a8..00000000
Binary files a/tests/data/test_texture_map.png and /dev/null differ
diff --git a/tests/data/test_texture_map_back.png b/tests/data/test_texture_map_back.png
new file mode 100644
index 00000000..4052ce99
Binary files /dev/null and b/tests/data/test_texture_map_back.png differ
diff --git a/tests/data/test_texture_map_front.png b/tests/data/test_texture_map_front.png
new file mode 100644
index 00000000..44156560
Binary files /dev/null and b/tests/data/test_texture_map_front.png differ
diff --git a/tests/test_blending.py b/tests/test_blending.py
index 47a901fd..f4effbd2 100644
--- a/tests/test_blending.py
+++ b/tests/test_blending.py
@@ -41,7 +41,7 @@ def sigmoid_blend_naive_loop(colors, fragments, blend_params):
                 pixel_colors[n, h, w, :3] = colors[n, h, w, 0, :]
                 pixel_colors[n, h, w, 3] = 1.0 - alpha
 
-    return torch.flip(pixel_colors, [1])
+    return pixel_colors
 
 
 def sigmoid_blend_naive_loop_backward(
@@ -54,8 +54,6 @@ def sigmoid_blend_naive_loop_backward(
     N, H, W, K = pix_to_face.shape
     device = pix_to_face.device
     grad_distances = torch.zeros((N, H, W, K), dtype=dists.dtype, device=device)
-    images = torch.flip(images, [1])
-    grad_images = torch.flip(grad_images, [1])
 
     for n in range(N):
         for h in range(H):
@@ -130,7 +128,7 @@ def softmax_blend_naive(colors, fragments, blend_params):
                 pixel_colors[n, h, w, :3] += (delta / denom) * bk_color
                 pixel_colors[n, h, w, 3] = 1.0 - alpha
 
-    return torch.flip(pixel_colors, [1])
+    return pixel_colors
 
 
 class TestBlending(unittest.TestCase):
diff --git a/tests/test_cameras.py b/tests/test_cameras.py
index fd7f33be..824829a9 100644
--- a/tests/test_cameras.py
+++ b/tests/test_cameras.py
@@ -173,12 +173,12 @@ class TestCameraHelpers(unittest.TestCase):
         grad_dist = (
             torch.cos(elev) * torch.sin(azim)
             + torch.sin(elev)
-            - torch.cos(elev) * torch.cos(azim)
+            + torch.cos(elev) * torch.cos(azim)
         )
         grad_elev = (
             -torch.sin(elev) * torch.sin(azim)
             + torch.cos(elev)
-            + torch.sin(elev) * torch.cos(azim)
+            - torch.sin(elev) * torch.cos(azim)
         )
         grad_elev = dist * (math.pi / 180.0) * grad_elev
         self.assertTrue(torch.allclose(elev_grad, grad_elev))
@@ -232,12 +232,12 @@ class TestCameraHelpers(unittest.TestCase):
         grad_dist = (
             torch.cos(elev) * torch.sin(azim)
             + torch.sin(elev)
-            - torch.cos(elev) * torch.cos(azim)
+            + torch.cos(elev) * torch.cos(azim)
         )
         grad_elev = (
             -torch.sin(elev) * torch.sin(azim)
             + torch.cos(elev)
-            + torch.sin(elev) * torch.cos(azim)
+            - torch.sin(elev) * torch.cos(azim)
         )
         grad_elev = (dist * (math.pi / 180.0) * grad_elev).sum()
         self.assertTrue(torch.allclose(elev_grad, grad_elev))
diff --git a/tests/test_rasterize_meshes.py b/tests/test_rasterize_meshes.py
index 360b2b13..a002d53c 100644
--- a/tests/test_rasterize_meshes.py
+++ b/tests/test_rasterize_meshes.py
@@ -19,7 +19,7 @@ class TestRasterizeMeshes(unittest.TestCase):
         device = torch.device("cpu")
         self._simple_triangle_raster(
             rasterize_meshes_python, device, bin_size=-1
-        )  # don't set binsize
+        )
         self._simple_blurry_raster(rasterize_meshes_python, device, bin_size=-1)
         self._test_behind_camera(rasterize_meshes_python, device, bin_size=-1)
         self._test_perspective_correct(
@@ -28,10 +28,10 @@ class TestRasterizeMeshes(unittest.TestCase):
 
     def test_simple_cpu_naive(self):
         device = torch.device("cpu")
-        self._simple_triangle_raster(rasterize_meshes, device)
-        self._simple_blurry_raster(rasterize_meshes, device)
-        self._test_behind_camera(rasterize_meshes, device)
-        self._test_perspective_correct(rasterize_meshes, device)
+        self._simple_triangle_raster(rasterize_meshes, device, bin_size=0)
+        self._simple_blurry_raster(rasterize_meshes, device, bin_size=0)
+        self._test_behind_camera(rasterize_meshes, device, bin_size=0)
+        self._test_perspective_correct(rasterize_meshes, device, bin_size=0)
 
     def test_simple_cuda_naive(self):
         device = torch.device("cuda:0")
@@ -285,14 +285,15 @@ class TestRasterizeMeshes(unittest.TestCase):
         max_faces_per_bin = 20
 
         device = torch.device("cpu")
-        meshes = ico_sphere(2, device)
 
+        meshes = ico_sphere(2, device)
         faces = meshes.faces_packed()
         verts = meshes.verts_packed()
         faces_verts = verts[faces]
         num_faces_per_mesh = meshes.num_faces_per_mesh()
         mesh_to_face_first_idx = meshes.mesh_to_faces_packed_first_idx()
-        args = (
+
+        bin_faces_cpu = _C._rasterize_meshes_coarse(
             faces_verts,
             mesh_to_face_first_idx,
             num_faces_per_mesh,
@@ -301,17 +302,16 @@ class TestRasterizeMeshes(unittest.TestCase):
             bin_size,
             max_faces_per_bin,
         )
-        bin_faces_cpu = _C._rasterize_meshes_coarse(*args)
-
         device = torch.device("cuda:0")
-        meshes = ico_sphere(2, device)
+        meshes = meshes.clone().to(device)
 
         faces = meshes.faces_packed()
         verts = meshes.verts_packed()
         faces_verts = verts[faces]
         num_faces_per_mesh = meshes.num_faces_per_mesh()
         mesh_to_face_first_idx = meshes.mesh_to_faces_packed_first_idx()
-        args = (
+
+        bin_faces_cuda = _C._rasterize_meshes_coarse(
             faces_verts,
             mesh_to_face_first_idx,
             num_faces_per_mesh,
@@ -320,11 +320,11 @@ class TestRasterizeMeshes(unittest.TestCase):
             bin_size,
             max_faces_per_bin,
         )
-        bin_faces_cuda = _C._rasterize_meshes_coarse(*args)
 
         # Bin faces might not be the same: CUDA version might write them in
         # any order. But if we sort the non-(-1) elements of the CUDA output
         # then they should be the same.
+
         for n in range(N):
             for by in range(bin_faces_cpu.shape[1]):
                 for bx in range(bin_faces_cpu.shape[2]):
@@ -456,64 +456,68 @@ class TestRasterizeMeshes(unittest.TestCase):
 
         # Run with and without perspective correction
         idx_f, zbuf_f, bary_f, dists_f = rasterize_meshes_fn(**kwargs)
+
         kwargs["perspective_correct"] = True
         idx_t, zbuf_t, bary_t, dists_t = rasterize_meshes_fn(**kwargs)
 
+        # Expected output tensors in the format with axes +X left, +Y up, +Z in
         # idx and dists should be the same with or without perspecitve correction
         # fmt: off
         idx_expected = torch.tensor([
             [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
-            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
-            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
-            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
-            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
-            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
-            [-1, -1, -1,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
-            [-1, -1, -1,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
             [-1, -1, -1, -1,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
-            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
+            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
+            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
+            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
+            [-1,  0,  0,  0,  0,  0,  0,  0,  0,  0, -1],  # noqa: E241, E201
+            [-1, -1,  0,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]   # noqa: E241, E201
         ], dtype=torch.int64, device=device).view(1, 11, 11, 1)
+
         dists_expected = torch.tensor([
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000,  0.1283,  0.1071,  0.1071,  0.1071,  0.1071,  0.1071,  0.1283, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000,  0.1283,  0.0423,  0.0212,  0.0212,  0.0212,  0.0212,  0.0212,  0.0423,  0.1283, -1.0000],  # noqa: E241, E201
-            [-1.0000,  0.1084,  0.0225, -0.0003, -0.0013, -0.0013, -0.0013, -0.0003,  0.0225,  0.1084, -1.0000],  # noqa: E241, E201
-            [-1.0000,  0.1523,  0.0518,  0.0042, -0.0095, -0.0476, -0.0095,  0.0042,  0.0518,  0.1523, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000,  0.0955,  0.0214, -0.0003, -0.0320, -0.0003,  0.0214,  0.0955, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000,  0.1523,  0.0518,  0.0042, -0.0095,  0.0042,  0.0518,  0.1523, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000,  0.0955,  0.0214, -0.0003,  0.0214,  0.0955, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000,  0.1523,  0.0542,  0.0212,  0.0542,  0.1523, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000,  0.1402,  0.1071,  0.1402, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
+            [-1.,     -1.,     -1.,     -1.,    -1.,     -1.,     -1.,     -1.,     -1.,   -1., -1.],  # noqa: E241, E201
+            [-1.,     -1.,     -1.,     -1., 0.1402,  0.1071,  0.1402,     -1.,     -1.,   -1., -1.],  # noqa: E241, E201
+            [-1.,     -1., -    1., 0.1523,  0.0542,  0.0212,  0.0542,  0.1523,     -1.,   -1., -1.],  # noqa: E241, E201
+            [-1.,     -1.,     -1., 0.0955,  0.0214, -0.0003,  0.0214,  0.0955,     -1.,   -1., -1.],  # noqa: E241, E201
+            [-1.,     -1., 0.1523,  0.0518,  0.0042, -0.0095,  0.0042,  0.0518, 0.1523,    -1., -1.],  # noqa: E241, E201
+            [-1.,     -1., 0.0955,  0.0214, -0.0003,  -0.032, -0.0003,  0.0214, 0.0955,    -1., -1.],  # noqa: E241, E201
+            [-1., 0.1523,  0.0518,  0.0042, -0.0095, -0.0476, -0.0095,  0.0042, 0.0518, 0.1523, -1.],  # noqa: E241, E201
+            [-1., 0.1084,  0.0225, -0.0003, -0.0013, -0.0013, -0.0013, -0.0003, 0.0225, 0.1084, -1.],  # noqa: E241, E201
+            [-1., 0.1283,  0.0423,  0.0212,  0.0212,  0.0212,  0.0212,  0.0212, 0.0423, 0.1283, -1.],  # noqa: E241, E201
+            [-1.,     -1., 0.1283,  0.1071,  0.1071,  0.1071,  0.1071,  0.1071, 0.1283,    -1., -1.],  # noqa: E241, E201
+            [-1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,    -1.,   -1., -1.]   # noqa: E241, E201
         ], dtype=torch.float32, device=device).view(1, 11, 11, 1)
 
         # zbuf and barycentric will be different with perspective correction
         zbuf_f_expected = torch.tensor([
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818, -1.0000],  # noqa: E241, E201
-            [-1.0000, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, -1.0000],  # noqa: E241, E201
-            [-1.0000, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, 15.0000, 15.0000, 15.0000, 15.0000, 15.0000, 15.0000, 15.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, 17.2727, 17.2727, 17.2727, 17.2727, 17.2727, 17.2727, 17.2727, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, 19.5455, 19.5455, 19.5455, 19.5455, 19.5455, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, 21.8182, 21.8182, 21.8182, 21.8182, 21.8182, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000, 24.0909, 24.0909, 24.0909, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
+            [-1.,      -1.,     -1.,     -1.,     -1.,     -1.,      -1.,    -1.,     -1.,     -1., -1.],  # noqa: E241, E201
+            [-1.,      -1.,     -1.,     -1., 24.0909, 24.0909, 24.0909,     -1.,     -1.,     -1., -1.],  # noqa: E241, E201
+            [-1.,      -1.,     -1., 21.8182, 21.8182, 21.8182, 21.8182, 21.8182,     -1.,     -1., -1.],  # noqa: E241, E201
+            [-1.,      -1.,     -1., 19.5455, 19.5455, 19.5455, 19.5455, 19.5455,     -1.,     -1., -1.],  # noqa: E241, E201
+            [-1.,      -1., 17.2727, 17.2727, 17.2727, 17.2727, 17.2727, 17.2727, 17.2727,     -1., -1.],  # noqa: E241, E201
+            [-1.,      -1.,      15.,     15.,     15.,     15.,     15.,    15.,     15.,     -1., -1.],  # noqa: E241, E201
+            [-1., 12.7273,  12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, 12.7273, -1.],  # noqa: E241, E201
+            [-1., 10.4545,  10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, 10.4545, -1.],  # noqa: E241, E201
+            [-1.,  8.1818,   8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818,  8.1818, -1.],  # noqa: E241, E201
+            [-1.,      -1.,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091,  5.9091,     -1., -1.],  # noqa: E241, E201
+            [-1.,       -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,    -1., -1.],  # noqa: E241, E201
         ], dtype=torch.float32, device=device).view(1, 11, 11, 1)
+
         zbuf_t_expected = torch.tensor([
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000,  8.3019,  8.3019,  8.3019,  8.3019,  8.3019,  8.3019,  8.3019, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667, -1.0000],  # noqa: E241, E201
-            [-1.0000, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, -1.0000],  # noqa: E241, E201
-            [-1.0000, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, 13.3333, 13.3333, 13.3333, 13.3333, 13.3333, 13.3333, 13.3333, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, 15.7143, 15.7143, 15.7143, 15.7143, 15.7143, 15.7143, 15.7143, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, 19.1304, 19.1304, 19.1304, 19.1304, 19.1304, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, 24.4444, 24.4444, 24.4444, 24.4444, 24.4444, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000, 33.8462, 33.8462, 33.8461, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
-            [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # noqa: E241, E201
+             [-1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1., -1.],  # noqa: E241, E201
+             [-1.,     -1.,     -1.,     -1., 33.8461, 33.8462, 33.8462,     -1.,     -1.,     -1., -1.],  # noqa: E241, E201
+             [-1.,     -1.,     -1., 24.4444, 24.4444, 24.4444, 24.4444, 24.4444,     -1.,     -1., -1.],  # noqa: E241, E201
+             [-1.,     -1.,     -1., 19.1304, 19.1304, 19.1304, 19.1304, 19.1304,     -1.,     -1., -1.],  # noqa: E241, E201
+             [-1.,     -1., 15.7143, 15.7143, 15.7143, 15.7143, 15.7143, 15.7143, 15.7143,     -1., -1.],  # noqa: E241, E201
+             [-1.,     -1., 13.3333, 13.3333, 13.3333, 13.3333, 13.3333, 13.3333, 13.3333,     -1., -1.],  # noqa: E241, E201
+             [-1., 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, 11.5789, -1.],  # noqa: E241, E201
+             [-1., 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, 10.2326, -1.],  # noqa: E241, E201
+             [-1.,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667,  9.1667, -1.],  # noqa: E241, E201
+             [-1.,      -1., 8.3019,  8.3019,  8.3019,  8.3019,  8.3019,  8.3019,  8.3019,     -1., -1.],  # noqa: E241, E201
+             [-1.,      -1.,     -1.,    -1.,     -1.,     -1.,     -1.,     -1.,     -1.,     -1., -1.]   # noqa: E241, E201
         ], dtype=torch.float32, device=device).view(1, 11, 11, 1)
         # fmt: on
 
@@ -618,9 +622,10 @@ class TestRasterizeMeshes(unittest.TestCase):
     def _simple_triangle_raster(self, raster_fn, device, bin_size=None):
         image_size = 10
 
-        # Mesh with a single face.
+        # Mesh with a single non-symmetrical face - this will help
+        # check that the XY directions are correctly oriented.
         verts0 = torch.tensor(
-            [[-0.7, -0.4, 0.1], [0.0, 0.6, 0.1], [0.7, -0.4, 0.1]],
+            [[-0.3, -0.4, 0.1], [0.0, 0.6, 0.1], [0.9, -0.4, 0.1]],
             dtype=torch.float32,
             device=device,
         )
@@ -630,7 +635,7 @@ class TestRasterizeMeshes(unittest.TestCase):
         # fmt: off
         verts1 = torch.tensor(
             [
-                [-0.7, -0.4, 0.1],  # noqa: E241, E201
+                [-0.9, -0.2, 0.1],  # noqa: E241, E201
                 [ 0.0,  0.6, 0.1],  # noqa: E241, E201
                 [ 0.7, -0.4, 0.1],  # noqa: E241, E201
                 [-0.7,  0.4, 0.5],  # noqa: E241, E201
@@ -645,6 +650,8 @@ class TestRasterizeMeshes(unittest.TestCase):
             [[1, 0, 2], [3, 4, 5]], dtype=torch.int64, device=device
         )
 
+        # Expected output tensors in the format with axes +X left, +Y up, +Z in
+        # k = 0, closest point.
         # fmt off
         expected_p2face_k0 = torch.tensor(
             [
@@ -652,10 +659,10 @@ class TestRasterizeMeshes(unittest.TestCase):
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  0,  0,  0,  0,  0,  0, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1, -1,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
+                    [-1, -1, -1, -1,  0, -1, -1, -1, -1, -1],  # noqa: E241, E201
+                    [-1, -1, -1,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
+                    [-1, -1,  0,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
+                    [-1,  0,  0,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
@@ -663,11 +670,11 @@ class TestRasterizeMeshes(unittest.TestCase):
                 [
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  1,  1,  1,  1,  1,  1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1,  1,  1,  1,  1, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, -1,  1,  1,  1,  1, -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  2,  2,  1,  1,  2,  2, -1, -1],  # noqa: E241, E201
+                    [-1, -1, -1, -1, -1,  1, -1, -1, -1, -1],  # noqa: E241, E201
+                    [-1, -1,  2,  2,  1,  1,  1,  2, -1, -1],  # noqa: E241, E201
+                    [-1, -1, -1,  1,  1,  1,  1,  1, -1, -1],  # noqa: E241, E201
+                    [-1, -1, -1,  1,  1,  1,  1,  1,  1, -1],  # noqa: E241, E201
+                    [-1, -1,  1,  1,  1,  2, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                     [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
@@ -677,49 +684,37 @@ class TestRasterizeMeshes(unittest.TestCase):
             device=device,
         )
         expected_zbuf_k0 = torch.tensor(
+        [
             [
-                [
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1, 0.1, 0.1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                ],
-                [
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1, 0.5, 0.5, 0.1, 0.1, 0.5, 0.5, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                    [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1, -1, -1],  # noqa: E241, E201
-                ],
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1, 0.1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1, 0.1, 0.1, 0.1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1, 0.1, 0.1, 0.1, 0.1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1, 0.1, 0.1, 0.1, 0.1, 0.1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  -1,  -1,  -1,  -1,  -1, -1, -1, -1, -1]   # noqa: E241, E201
             ],
+            [
+                [-1, -1,  -1,  -1,  -1, -1,   -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1,  -1,  -1, -1,   -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1,  -1,  -1, 0.1,  -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1, 0.5, 0.5, 0.1, 0.1, 0.1, 0.5,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1, 0.1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, -1],  # noqa: E241, E201
+                [-1, -1, 0.1, 0.1, 0.1, 0.5,  -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1]   # noqa: E241, E201
+            ]
+        ],
             device=device,
         )
         # fmt: on
 
         meshes = Meshes(verts=[verts0, verts1], faces=[faces0, faces1])
-        if bin_size == -1:
-            # simple python case with no binning
-            p2face, zbuf, bary, pix_dists = raster_fn(
-                meshes, image_size, 0.0, 2
-            )
-        else:
-            p2face, zbuf, bary, pix_dists = raster_fn(
-                meshes, image_size, 0.0, 2, bin_size
-            )
-        # k = 0, closest point.
-        self.assertTrue(torch.allclose(p2face[..., 0], expected_p2face_k0))
-        self.assertTrue(torch.allclose(zbuf[..., 0], expected_zbuf_k0))
 
         # k = 1, second closest point.
         expected_p2face_k1 = expected_p2face_k0.clone()
@@ -729,18 +724,18 @@ class TestRasterizeMeshes(unittest.TestCase):
 
         # fmt: off
         expected_p2face_k1[1, :] = torch.tensor(
-            [
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1,  2,  2, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  2,  2,  2,  2, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  2,  2,  2,  2, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1,  2,  2, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-            ],
+        [
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1,  2,  2,  2, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1,  2,  2,  2,  2, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1,  2,  2,  2,  2, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1,  2, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+            [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1]   # noqa: E241, E201
+        ],
             dtype=torch.int64,
             device=device,
         )
@@ -748,21 +743,35 @@ class TestRasterizeMeshes(unittest.TestCase):
         expected_zbuf_k1[0, :] = torch.ones_like(expected_zbuf_k1[0, :]) * -1
         expected_zbuf_k1[1, :] = torch.tensor(
             [
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1, 0.5, 0.5,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, 0.5, 0.5, 0.5, 0.5, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1, 0.5, 0.5, 0.5, 0.5, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1, 0.5, 0.5,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1, -1,  -1,  -1,  -1,  -1, -1, -1, -1],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  0.5, 0.5,  0.5, -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  0.5,  0.5, 0.5,  0.5, -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  0.5,  0.5, 0.5,  0.5, -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  0.5,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1., -1., -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.]   # noqa: E241, E201
             ],
             dtype=torch.float32,
             device=device,
         )
         # fmt: on
+
+        #  Coordinate conventions +Y up, +Z in, +X left
+        if bin_size == -1:
+            # simple python, no bin_size
+            p2face, zbuf, bary, pix_dists = raster_fn(
+                meshes, image_size, 0.0, 2
+            )
+        else:
+            p2face, zbuf, bary, pix_dists = raster_fn(
+                meshes, image_size, 0.0, 2, bin_size
+            )
+
+        self.assertTrue(torch.allclose(p2face[..., 0], expected_p2face_k0))
+        self.assertTrue(torch.allclose(zbuf[..., 0], expected_zbuf_k0))
         self.assertTrue(torch.allclose(p2face[..., 1], expected_p2face_k1))
         self.assertTrue(torch.allclose(zbuf[..., 1], expected_zbuf_k1))
 
@@ -778,9 +787,9 @@ class TestRasterizeMeshes(unittest.TestCase):
         # fmt: off
         verts = torch.tensor(
             [
-                [ -0.5, 0.0,  0.1],  # noqa: E241, E201
+                [ -0.3, 0.0,  0.1],  # noqa: E241, E201
                 [  0.0, 0.6,  0.1],  # noqa: E241, E201
-                [  0.5, 0.0,  0.1],  # noqa: E241, E201
+                [  0.8, 0.0,  0.1],  # noqa: E241, E201
                 [-0.25, 0.0,  0.9],  # noqa: E241, E201
                 [0.25,  0.5,  0.9],  # noqa: E241, E201
                 [0.75,  0.0,  0.9],  # noqa: E241, E201
@@ -794,6 +803,8 @@ class TestRasterizeMeshes(unittest.TestCase):
             dtype=torch.float32,
             device=device,
         )
+        # Face with index 0 is non symmetric about the X and Y axis to
+        # test that the positive Y and X directions are correct in the output.
         faces_packed = torch.tensor(
             [[1, 0, 2], [4, 3, 5], [7, 6, 8], [10, 9, 11]],
             dtype=torch.int64,
@@ -803,12 +814,12 @@ class TestRasterizeMeshes(unittest.TestCase):
             [
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  2,  2,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  2,  0,  0,  0,  0, -1, -1, -1, -1],  # noqa: E241, E201
+                [-1,  0,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
+                [-1,  0,  0,  0,  0,  0,  0, -1, -1, -1],  # noqa: E241, E201
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
-                [-1, -1,  0,  0,  0,  0,  0,  0,  2, -1],  # noqa: E241, E201
-                [-1, -1,  0,  0,  0,  0,  0,  0,  2, -1],  # noqa: E241, E201
-                [-1, -1, -1,  0,  0,  0,  0,  2,  2, -1],  # noqa: E241, E201
-                [-1, -1, -1, -1,  0,  0,  2,  2,  2, -1],  # noqa: E241, E201
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
                 [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1],  # noqa: E241, E201
             ],
@@ -817,16 +828,16 @@ class TestRasterizeMeshes(unittest.TestCase):
         )
         expected_zbuf = torch.tensor(
             [
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
-                [-1, -1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.5, -1],  # noqa: E241, E201
-                [-1, -1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.5, -1],  # noqa: E241, E201
-                [-1, -1,  -1, 0.1, 0.1, 0.1, 0.1, 0.5, 0.5, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1, 0.1, 0.1, 0.5, 0.5, 0.5, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
-                [-1, -1,  -1,  -1,  -1,  -1,  -1,  -1,  -1, -1],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,  0.5,  0.5,  0.1,  0.1,  0.1,  -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,  0.5,  0.1,  0.1,  0.1,  0.1,  -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,  0.1,  0.1,  0.1,  0.1,  0.1,  0.1, -1., -1., -1.],  # noqa: E241, E201
+                [-1.,  0.1,  0.1,  0.1,  0.1,  0.1,  0.1, -1., -1., -1.],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.],  # noqa: E241, E201
+                [-1.,   -1.,  -1.,  -1.,  -1.,  -1., -1., -1., -1., -1.]   # noqa: E241, E201
             ],
             dtype=torch.float32,
             device=device,
@@ -837,7 +848,7 @@ class TestRasterizeMeshes(unittest.TestCase):
             faces = faces_packed[order]  # rearrange order of faces.
             mesh = Meshes(verts=[verts], faces=[faces])
             if bin_size == -1:
-                # simple python case with no binning
+                # simple python, no bin size arg
                 pix_to_face, zbuf, bary_coords, dists = raster_fn(
                     mesh, image_size, blur_radius, faces_per_pixel
                 )
@@ -845,7 +856,6 @@ class TestRasterizeMeshes(unittest.TestCase):
                 pix_to_face, zbuf, bary_coords, dists = raster_fn(
                     mesh, image_size, blur_radius, faces_per_pixel, bin_size
                 )
-
             if i == 0:
                 expected_dists = dists
             p2f = expected_p2f.clone()
@@ -861,33 +871,37 @@ class TestRasterizeMeshes(unittest.TestCase):
 
     def _test_coarse_rasterize(self, device):
         image_size = 16
-        blur_radius = 0.2 ** 2
+        # No blurring. This test checks that the XY directions are
+        # correctly oriented.
+        blur_radius = 0.0
         bin_size = 8
         max_faces_per_bin = 3
 
         # fmt: off
         verts = torch.tensor(
             [
-                [-0.5,  0.0,  0.1],  # noqa: E241, E201
-                [ 0.0,  0.6,  0.1],  # noqa: E241, E201
-                [ 0.5,  0.0,  0.1],  # noqa: E241, E201
-                [-0.3,  0.0,  0.4],  # noqa: E241, E201
-                [ 0.3,  0.5,  0.4],  # noqa: E241, E201
-                [0.75,  0.0,  0.4],  # noqa: E241, E201
-                [-0.4, -0.3,  0.9],  # noqa: E241, E201
-                [ 0.2, -0.7,  0.9],  # noqa: E241, E201
-                [ 0.4, -0.3,  0.9],  # noqa: E241, E201
-                [-0.4,  0.0, -1.5],  # noqa: E241, E201
-                [ 0.6,  0.6, -1.5],  # noqa: E241, E201
-                [ 0.8,  0.0, -1.5],  # noqa: E241, E201
+                [-0.5,   0.1,  0.1],  # noqa: E241, E201
+                [-0.3,   0.6,  0.1],  # noqa: E241, E201
+                [-0.1,   0.1,  0.1],  # noqa: E241, E201
+                [-0.3,  -0.1,  0.4],  # noqa: E241, E201
+                [ 0.3,   0.5,  0.4],  # noqa: E241, E201
+                [0.75,  -0.1,  0.4],  # noqa: E241, E201
+                [ 0.2,  -0.3,  0.9],  # noqa: E241, E201
+                [ 0.3,  -0.7,  0.9],  # noqa: E241, E201
+                [ 0.6,  -0.3,  0.9],  # noqa: E241, E201
+                [-0.4,   0.0, -1.5],  # noqa: E241, E201
+                [ 0.6,   0.6, -1.5],  # noqa: E241, E201
+                [ 0.8,   0.0, -1.5],  # noqa: E241, E201
             ],
             device=device,
         )
+        # Expected faces using axes convention +Y down, + X right, +Z in
+        # Non symmetrical triangles i.e face 0 and 3 are in one bin only
         faces = torch.tensor(
             [
-                [ 1, 0,  2],  # noqa: E241, E201  bin 00 and bin 01
-                [ 4, 3,  5],  # noqa: E241, E201  bin 00 and bin 01
-                [ 7, 6,  8],  # noqa: E241, E201  bin 10 and bin 11
+                [ 1, 0,  2],  # noqa: E241, E201  bin 01 only
+                [ 4, 3,  5],  # noqa: E241, E201  all bins
+                [ 7, 6,  8],  # noqa: E241, E201  bin 10 only
                 [10, 9, 11],  # noqa: E241, E201  negative z, should not appear.
             ],
             dtype=torch.int64,
@@ -900,16 +914,19 @@ class TestRasterizeMeshes(unittest.TestCase):
         num_faces_per_mesh = meshes.num_faces_per_mesh()
         mesh_to_face_first_idx = meshes.mesh_to_faces_packed_first_idx()
 
+        # Expected faces using axes convention +Y down, + X right, + Z in
         bin_faces_expected = (
             torch.ones(
                 (1, 2, 2, max_faces_per_bin), dtype=torch.int32, device=device
             )
             * -1
         )
-        bin_faces_expected[0, 0, 0, 0:2] = torch.tensor([0, 1])
+        bin_faces_expected[0, 0, 0, 0] = torch.tensor([1])
+        bin_faces_expected[0, 1, 0, 0:2] = torch.tensor([1, 2])
         bin_faces_expected[0, 0, 1, 0:2] = torch.tensor([0, 1])
-        bin_faces_expected[0, 1, 0, 0:3] = torch.tensor([0, 1, 2])
-        bin_faces_expected[0, 1, 1, 0:3] = torch.tensor([0, 1, 2])
+        bin_faces_expected[0, 1, 1, 0] = torch.tensor([1])
+
+        # +Y up, +X left, +Z in
         bin_faces = _C._rasterize_meshes_coarse(
             faces_verts,
             mesh_to_face_first_idx,
@@ -919,9 +936,8 @@ class TestRasterizeMeshes(unittest.TestCase):
             bin_size,
             max_faces_per_bin,
         )
-        bin_faces_same = (
-            bin_faces.squeeze().flip(dims=[0]) == bin_faces_expected
-        ).all()
+        # Flip x and y axis of output before comparing to expected
+        bin_faces_same = (bin_faces.squeeze() == bin_faces_expected).all()
         self.assertTrue(bin_faces_same.item() == 1)
 
     @staticmethod
diff --git a/tests/test_rendering_meshes.py b/tests/test_rendering_meshes.py
index 93e7ebf7..698333e0 100644
--- a/tests/test_rendering_meshes.py
+++ b/tests/test_rendering_meshes.py
@@ -72,20 +72,25 @@ class TestRenderingMeshes(unittest.TestCase):
 
         # Init rasterizer settings
         if elevated_camera:
-            R, T = look_at_view_transform(2.7, 45.0, 0.0)
+            # Elevated and rotated camera
+            R, T = look_at_view_transform(dist=2.7, elev=45.0, azim=45.0)
             postfix = "_elevated_camera"
+            # If y axis is up, the spot of light should
+            # be on the bottom left of the sphere.
         else:
+            # No elevation or azimuth rotation
             R, T = look_at_view_transform(2.7, 0.0, 0.0)
             postfix = ""
         cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
-        raster_settings = RasterizationSettings(
-            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
-        )
 
         # Init shader settings
         materials = Materials(device=device)
         lights = PointLights(device=device)
-        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
+        lights.location = torch.tensor([0.0, 0.0, +2.0], device=device)[None]
+
+        raster_settings = RasterizationSettings(
+            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
+        )
 
         # Init renderer
         rasterizer = MeshRasterizer(
@@ -107,15 +112,16 @@ class TestRenderingMeshes(unittest.TestCase):
 
         # Load reference image
         image_ref_phong = load_rgb_image(
-            "test_simple_sphere_illuminated%s.png" % postfix
+            "test_simple_sphere_light%s.png" % postfix
         )
         self.assertTrue(torch.allclose(rgb, image_ref_phong, atol=0.05))
 
-        ###################################
-        # Move the light behind the object
-        ###################################
-        # Check the image is dark
-        lights.location[..., 2] = +2.0
+        ########################################################
+        # Move the light to the +z axis in world space so it is
+        # behind the sphere. Note that +Z is in, +Y up,
+        # +X left for both world and camera space.
+        ########################################################
+        lights.location[..., 2] = -2.0
         images = renderer(sphere_mesh, lights=lights)
         rgb = images[0, ..., :3].squeeze().cpu()
         if DEBUG:
@@ -133,7 +139,7 @@ class TestRenderingMeshes(unittest.TestCase):
         ######################################
         # Change the shader to a GouraudShader
         ######################################
-        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
+        lights.location = torch.tensor([0.0, 0.0, +2.0], device=device)[None]
         renderer = MeshRenderer(
             rasterizer=rasterizer,
             shader=HardGouraudShader(
@@ -143,7 +149,7 @@ class TestRenderingMeshes(unittest.TestCase):
         images = renderer(sphere_mesh)
         rgb = images[0, ..., :3].squeeze().cpu()
         if DEBUG:
-            filename = "DEBUG_simple_sphere_light_gourad%s.png" % postfix
+            filename = "DEBUG_simple_sphere_light_gouraud%s.png" % postfix
             Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                 DATA_DIR / filename
             )
@@ -157,7 +163,6 @@ class TestRenderingMeshes(unittest.TestCase):
         ######################################
         # Change the shader to a HardFlatShader
         ######################################
-        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
         renderer = MeshRenderer(
             rasterizer=rasterizer,
             shader=HardFlatShader(
@@ -217,7 +222,7 @@ class TestRenderingMeshes(unittest.TestCase):
         # Init shader settings
         materials = Materials(device=device)
         lights = PointLights(device=device)
-        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
+        lights.location = torch.tensor([0.0, 0.0, +2.0], device=device)[None]
 
         # Init renderer
         renderer = MeshRenderer(
@@ -231,7 +236,7 @@ class TestRenderingMeshes(unittest.TestCase):
         images = renderer(sphere_meshes)
 
         # Load ref image
-        image_ref = load_rgb_image("test_simple_sphere_illuminated.png")
+        image_ref = load_rgb_image("test_simple_sphere_light.png")
 
         for i in range(batch_size):
             rgb = images[i, ..., :3].squeeze().cpu()
@@ -261,7 +266,7 @@ class TestRenderingMeshes(unittest.TestCase):
         )
 
         # Init rasterizer settings
-        R, T = look_at_view_transform(2.7, 10, 20)
+        R, T = look_at_view_transform(2.7, 0, 0)
         cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
 
         # Init renderer
@@ -275,7 +280,7 @@ class TestRenderingMeshes(unittest.TestCase):
         alpha = images[0, ..., 3].squeeze().cpu()
         if DEBUG:
             Image.fromarray((alpha.numpy() * 255).astype(np.uint8)).save(
-                DATA_DIR / "DEBUG_silhouette_grad.png"
+                DATA_DIR / "DEBUG_silhouette.png"
             )
 
         with Image.open(image_ref_filename) as raw_image_ref:
@@ -292,7 +297,8 @@ class TestRenderingMeshes(unittest.TestCase):
 
     def test_texture_map(self):
         """
-        Test a mesh with a texture map is loaded and rendered correctly
+        Test a mesh with a texture map is loaded and rendered correctly.
+        The pupils in the eyes of the cow should always be looking to the left.
         """
         device = torch.device("cuda:0")
         DATA_DIR = (
@@ -304,7 +310,7 @@ class TestRenderingMeshes(unittest.TestCase):
         mesh = load_objs_as_meshes([obj_filename], device=device)
 
         # Init rasterizer settings
-        R, T = look_at_view_transform(2.7, 10, 20)
+        R, T = look_at_view_transform(2.7, 0, 0)
         cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
         raster_settings = RasterizationSettings(
             image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
@@ -313,7 +319,10 @@ class TestRenderingMeshes(unittest.TestCase):
         # Init shader settings
         materials = Materials(device=device)
         lights = PointLights(device=device)
-        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
+
+        # Place light behind the cow in world space. The front of
+        # the cow is facing the -z direction.
+        lights.location = torch.tensor([0.0, 0.0, 2.0], device=device)[None]
 
         # Init renderer
         renderer = MeshRenderer(
@@ -328,18 +337,13 @@ class TestRenderingMeshes(unittest.TestCase):
         rgb = images[0, ..., :3].squeeze().cpu()
 
         # Load reference image
-        image_ref = load_rgb_image("test_texture_map.png")
+        image_ref = load_rgb_image("test_texture_map_back.png")
 
         if DEBUG:
             Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
-                DATA_DIR / "DEBUG_texture_map.png"
+                DATA_DIR / "DEBUG_texture_map_back.png"
             )
 
-        # There's a calculation instability on the corner of the ear of the cow.
-        # We ignore that pixel.
-        image_ref[137, 166] = 0
-        rgb[137, 166] = 0
-
         self.assertTrue(torch.allclose(rgb, image_ref, atol=0.05))
 
         # Check grad exists
@@ -352,10 +356,31 @@ class TestRenderingMeshes(unittest.TestCase):
         images[0, ...].sum().backward()
         self.assertIsNotNone(verts.grad)
 
+        ##########################################
+        # Check rendering of the front of the cow
+        ##########################################
+
+        R, T = look_at_view_transform(2.7, 0, 180)
+        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
+
+        # Move light to the front of the cow in world space
+        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
+        images = renderer(mesh, cameras=cameras, lights=lights)
+        rgb = images[0, ..., :3].squeeze().cpu()
+
+        # Load reference image
+        image_ref = load_rgb_image("test_texture_map_front.png")
+
+        if DEBUG:
+            Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
+                DATA_DIR / "DEBUG_texture_map_front.png"
+            )
+
         #################################
         # Add blurring to rasterization
         #################################
-
+        R, T = look_at_view_transform(2.7, 0, 180)
+        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
         blend_params = BlendParams(sigma=5e-4, gamma=1e-4)
         raster_settings = RasterizationSettings(
             image_size=512,
@@ -366,6 +391,7 @@ class TestRenderingMeshes(unittest.TestCase):
 
         images = renderer(
             mesh.clone(),
+            cameras=cameras,
             raster_settings=raster_settings,
             blend_params=blend_params,
         )